From f44318b9fe3ebd125f9bdd3327d22f0890b48aed Mon Sep 17 00:00:00 2001 From: JordiNeil Date: Sat, 26 Apr 2025 00:43:10 -0500 Subject: [PATCH 01/21] Add initial dev-tools-mcp files --- servers/developer_tools/README.md | 72 +- servers/developer_tools/pyproject.toml | 7 + servers/developer_tools/src/Dockerfile | 26 + servers/developer_tools/src/requirements.txt | 6 + servers/developer_tools/src/server.py | 460 ++++++++++++ .../developer_tools/src/test_connection.py | 128 ++++ servers/developer_tools/uv.lock | 700 ++++++++++++++++++ 7 files changed, 1392 insertions(+), 7 deletions(-) create mode 100644 servers/developer_tools/pyproject.toml create mode 100644 servers/developer_tools/src/Dockerfile create mode 100644 servers/developer_tools/src/requirements.txt create mode 100644 servers/developer_tools/src/server.py create mode 100644 servers/developer_tools/src/test_connection.py create mode 100644 servers/developer_tools/uv.lock diff --git a/servers/developer_tools/README.md b/servers/developer_tools/README.md index a261a5f..f78ef62 100644 --- a/servers/developer_tools/README.md +++ b/servers/developer_tools/README.md @@ -8,27 +8,85 @@ A Model Context Protocol server that exposes common Databricks developer actions as tools. ## Usage +1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs +1. Add the server to your MCP client configuration. For example: + +
+Using uv + 1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/) 1. Install Python using `uv python install 3.12` -1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs -1. Add the server to your MCP client configuration. For example, to use this server with Claude Desktop, add the following to your `claude_desktop_config.json`: +1. Clone this repo `git clone https://github.com/databrickslabs/mcp.git` +1. Add to your `claude_desktop_config.json`: ```json { "mcpServers": { "databricks_developer_tools": { - "command": "/path/to/uv/executable/uv", + "command": "uv", "args": [ - "--directory", - "/path/to/this/repo/servers/developer_tools", "run", - "databricks-developer-tools" + "/path/to/repo/servers/developer_tools/src/server.py" ] } } } ``` +
+ +
+Using docker + +### Build the image + +```docker build -t databricks-mcp-dev-tools .``` + +Then update your `claude_desktop_config.json`: + +```json +{ + "mcpServers": { + "databricks_developer_tools": { + "command": "docker", + "args": [ + "run", + "--rm", + "-i", + "-e", + "DATABRICKS_HOST=", + "-e", + "DATABRICKS_TOKEN=", + "-e", + "DATABRICKS_HTTP_PATH=", + "databricks-mcp-dev-tools" + ] + } + } +} +``` +
+ +
+Using pip + +```json +{ + "mcpServers": { + "databricks_developer_tools": { + "command": "python", + "args": [ + "/path/to/databricks-developer-tools/src/server.py" + ] + } + } +} +``` + +
+ ## Supported tools -TODO: add a list here +## TODO: +- Publish the MCP as pypi package to avoid cloning the repo when using uv. +- Publish Docker image to dockerHub to avoid building the image when using docker. diff --git a/servers/developer_tools/pyproject.toml b/servers/developer_tools/pyproject.toml new file mode 100644 index 0000000..9fef877 --- /dev/null +++ b/servers/developer_tools/pyproject.toml @@ -0,0 +1,7 @@ +[project] +name = "mcp-server-databricks" +version = "0.0.1" +description = "MCP server for Databricks developer tools" +readme = "README.md" +requires-python = ">=3.10" +dependencies = ["mcp>=1.0.0", "databricks-sql-connector>=2.4.0", "requests>=2.31.0", "packaging>=23.0"] diff --git a/servers/developer_tools/src/Dockerfile b/servers/developer_tools/src/Dockerfile new file mode 100644 index 0000000..9d5f5cf --- /dev/null +++ b/servers/developer_tools/src/Dockerfile @@ -0,0 +1,26 @@ +FROM python:3.10-slim + +# Set the working directory in the container +WORKDIR /app + +# Copy requirements first to leverage Docker cache +COPY requirements.txt . + +# Install dependencies +RUN pip install --no-cache-dir -r requirements.txt + + +# Copy the rest of the application code into the container at /app +COPY . . + +# Make port 8000 available to the world outside this container +# (MCP servers typically run on port 8000 by default) +EXPOSE 8000 + +# Define environment variables (these will be overridden by docker run -e flags) +ENV DATABRICKS_HOST="" +ENV DATABRICKS_TOKEN="" +ENV DATABRICKS_HTTP_PATH="" + +# Run main.py when the container launches +CMD ["python", "server.py"] \ No newline at end of file diff --git a/servers/developer_tools/src/requirements.txt b/servers/developer_tools/src/requirements.txt new file mode 100644 index 0000000..d1f0931 --- /dev/null +++ b/servers/developer_tools/src/requirements.txt @@ -0,0 +1,6 @@ +databricks-sql-connector>=2.4.0 +pydantic>=2.0.0 +mcp>=0.1.0 +pyarrow>=14.0.1 +requests>=2.31.0 +packaging>=23.0 \ No newline at end of file diff --git a/servers/developer_tools/src/server.py b/servers/developer_tools/src/server.py new file mode 100644 index 0000000..bb5bfb2 --- /dev/null +++ b/servers/developer_tools/src/server.py @@ -0,0 +1,460 @@ +import os +from typing import Dict +from dotenv import load_dotenv +from databricks.sql import connect, exc as db_exc # Import Databricks SQL exceptions +from databricks.sql.client import Connection +from mcp.server.fastmcp import FastMCP +import requests +from requests import exceptions as req_exc # Import requests exceptions +import logging +import functools # Import functools for wraps + +# Load environment variables +load_dotenv() + +# Get Databricks credentials from environment variables +DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") +DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") +DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") + +# Set up the MCP server +mcp = FastMCP("Databricks API Explorer") + +# Global variable to hold the Databricks SQL connection +_db_connection: Connection | None = None + +# Error handling decorator for MCP tools +def log_tool_errors(func): + """Decorator to handle common exceptions for MCP tools, log them, and return standardized error messages.""" + @functools.wraps(func) + def wrapper(*args, **kwargs): + tool_name = func.__name__ + try: + # Execute the original tool function + return func(*args, **kwargs) + except ValueError as e: + # Configuration/Input errors (raised by helpers or tool validation) + logging.error(f"Configuration/Input Error in {tool_name}: {e}", exc_info=False) + return f"Configuration/Input Error: {str(e)}" + except db_exc.Error as db_error: + # Databricks SQL specific errors + logging.error(f"Databricks SQL Error in {tool_name}: {db_error}", exc_info=True) + return f"Database Error: {str(db_error)}" + except req_exc.HTTPError as http_err: + # HTTP errors from API requests + status_code = http_err.response.status_code + reason = http_err.response.reason + # Note: Specific status code handling (like 404) should be done within the tool function + # if a custom message is needed, before this general handler catches it. + logging.error(f"API Request Failed in {tool_name}: {status_code} {reason} - Response: {http_err.response.text}", exc_info=False) + return f"API Request Failed: {status_code} {reason}" + except req_exc.RequestException as req_err: + # Other requests errors (connection, timeout, etc.) + logging.error(f"API Connection/Request Error in {tool_name}: {req_err}", exc_info=True) + return f"API Connection/Request Error: {str(req_err)}" + except (KeyError, TypeError, AttributeError, IndexError) as data_err: # Added IndexError for safety + # Errors processing data (e.g., API responses) + logging.error(f"Error processing data in {tool_name}: {data_err}", exc_info=True) + return f"Error processing data: {str(data_err)}" + except Exception as e: + # Catch-all for unexpected errors + logging.error(f"Unexpected Error in {tool_name}: {e}", exc_info=True) + return f"An unexpected error occurred: {str(e)}" + return wrapper + +# Helper function to get a reusable Databricks SQL connection +def get_databricks_connection() -> Connection: + """Create and return a reusable Databricks SQL connection.""" + global _db_connection + + # Check if connection exists and is open + if _db_connection is not None: + try: + # TODO: Easier way to check if the connection is still valid? + cursor = _db_connection.cursor() + cursor.execute("SELECT 1") + cursor.close() + logging.info("Reusing existing Databricks SQL connection.") + return _db_connection + except db_exc.Error as db_error: + logging.warning(f"Existing connection seems invalid (DB Error: {db_error}), creating a new one.") + try: + if _db_connection: + _db_connection.close() + except db_exc.Error: + pass + except Exception as close_exc: + logging.error(f"Unexpected error closing potentially broken DB connection: {close_exc}") + _db_connection = None + except Exception as e: + logging.warning(f"Unexpected error checking connection liveness ({e}), creating a new one.") + _db_connection = None + + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN, DATABRICKS_HTTP_PATH]): + # This case is critical configuration error, raising is appropriate + raise ValueError("Missing required Databricks connection details in .env file") + + try: + logging.info("Creating new Databricks SQL connection.") + _db_connection = connect( + server_hostname=DATABRICKS_HOST, + http_path=DATABRICKS_HTTP_PATH, + access_token=DATABRICKS_TOKEN + ) + return _db_connection + except db_exc.Error as db_connect_error: + logging.error(f"Failed to connect to Databricks SQL Warehouse: {db_connect_error}") + raise + except Exception as connect_exc: + logging.error(f"Unexpected error creating Databricks SQL connection: {connect_exc}") + raise + +# Helper function for Databricks REST API requests +def databricks_api_request(endpoint: str, method: str = "GET", data: Dict = None) -> Dict: + """Make a request to the Databricks REST API, handling common errors.""" + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): + # This case is critical configuration error, raising is appropriate + raise ValueError("Missing required Databricks API credentials in .env file") + + headers = { + "Authorization": f"Bearer {DATABRICKS_TOKEN}", + "Content-Type": "application/json" + } + + url = f"https://{DATABRICKS_HOST}/api/2.0/{endpoint}" + + try: + if method.upper() == "GET": + response = requests.get(url, headers=headers) + elif method.upper() == "POST": + response = requests.post(url, headers=headers, json=data) + else: + # Internal programming error + raise ValueError(f"Unsupported HTTP method: {method}") + + response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx) + return response.json() + + except req_exc.HTTPError as http_err: + logging.error(f"HTTP error occurred: {http_err} - Response: {http_err.response.text}") + raise + except req_exc.ConnectionError as conn_err: + logging.error(f"Connection error occurred: {conn_err}") + raise + except req_exc.Timeout as timeout_err: + logging.error(f"Request timed out: {timeout_err}") + raise + except req_exc.RequestException as req_err: + logging.error(f"An error occurred during the API request: {req_err}") + raise + except ValueError as val_err: + logging.error(f"API Request internal error: {val_err}") + raise + +@mcp.resource("schema://tables") +@log_tool_errors +def get_schema() -> str: + """Provide the list of tables in the Databricks SQL warehouse as a resource""" + # The decorator will handle exceptions + conn = get_databricks_connection() # Use the shared connection + cursor = conn.cursor() + tables = cursor.tables().fetchall() + + table_info = [] + for table in tables: + table_info.append(f"Database: {table.TABLE_CAT}, Schema: {table.TABLE_SCHEM}, Table: {table.TABLE_NAME}") + + cursor.close() + return "\n".join(table_info) + +@mcp.tool() +@log_tool_errors +def run_sql_query(sql: str) -> str: + """Execute SQL queries on Databricks SQL warehouse""" + # The decorator will handle exceptions + conn = get_databricks_connection() # Use the shared connection + cursor = conn.cursor() + result = cursor.execute(sql) + + if result.description: + columns = [col[0] for col in result.description] + rows = result.fetchall() + cursor.close() + + if not rows: + return "Query executed successfully. No results returned." + + # Format as markdown table + # Keep internal try/except for formatting issues, but let others bubble up + try: + table = "| " + " | ".join(columns) + " |\n" + table += "| " + " | ".join(["---" for _ in columns]) + " |\n" + for row in rows: + table += "| " + " | ".join([str(cell) for cell in row]) + " |\n" + return table + except Exception as format_exc: + logging.error(f"Error formatting SQL results: {format_exc}", exc_info=True) + # Return a specific error for formatting, not the generic one from the decorator + return f"Error formatting results: {str(format_exc)}" + else: + cursor.close() + return "Query executed successfully. No results returned." + +@mcp.tool() +@log_tool_errors +def list_jobs() -> str: + """List all Databricks jobs""" + # The decorator will handle exceptions + response = databricks_api_request("jobs/list") + + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for list_jobs: {type(response)}") + # Raise an error for the decorator to catch with a standard message + raise TypeError("Received unexpected API response format.") + + jobs = response.get("jobs") + if jobs is None: + if "error_code" in response: + logging.error(f"API error in list_jobs response: {response}") + # Let the decorator handle this as likely an API/Request error or data error + # depending on what databricks_api_request raised or if it succeeded but gave error payload + raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") + else: + return "No jobs found." + if not isinstance(jobs, list): + logging.error(f"Unexpected 'jobs' format in list_jobs response: {type(jobs)}") + raise TypeError("Received unexpected API response format for jobs list.") + + # Format as markdown table + table_rows = ["| Job ID | Job Name | Created By |", "| ------ | -------- | ---------- |"] + for job in jobs: + if not isinstance(job, dict): + logging.warning(f"Skipping invalid job item in list_jobs: {job}") + continue + job_id = job.get("job_id", "N/A") + job_name = job.get("settings", {}).get("name", "N/A") + creator = job.get("creator_user_name", "N/A") + + table_rows.append(f"| {job_id} | {job_name} | {creator} |") + + return "\n".join(table_rows) + +@mcp.tool() +@log_tool_errors +def get_job_status(job_id: int) -> str: + """Get the status of a specific Databricks job""" + # The decorator will handle general exceptions + + # Add basic input validation (can raise ValueError handled by decorator) + if not isinstance(job_id, int) or job_id <= 0: + raise ValueError("Invalid Job ID provided.") + + response = databricks_api_request("jobs/runs/list", data={"job_id": job_id}) + + # Error handling for unexpected API response structure (raise for decorator) + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for get_job_status: {type(response)}") + raise TypeError("Received unexpected API response format.") + + runs = response.get("runs") + if runs is None: + if "error_code" in response: + logging.error(f"API error in get_job_status response: {response}") + raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") + else: + return f"No runs found for job ID {job_id}." + if not isinstance(runs, list): + logging.error(f"Unexpected 'runs' format in get_job_status response: {type(runs)}") + raise TypeError("Received unexpected API response format for runs list.") + + if not runs: # Check if list is empty after verifying it's a list + return f"No runs found for job ID {job_id}." + + # Format as markdown table + import datetime # Import moved inside for scope + table_rows = ["| Run ID | State | Start Time | End Time | Duration |", "| ------ | ----- | ---------- | -------- | -------- |"] + + for run in runs: + if not isinstance(run, dict): + logging.warning(f"Skipping invalid run item in get_job_status: {run}") + continue + + run_id = run.get("run_id", "N/A") + # Safer access to nested state + state_info = run.get("state", {}) + state = state_info.get("life_cycle_state", "N/A") # life_cycle_state is often more useful + result_state = state_info.get("result_state") + if result_state: + state += f" ({result_state})" + + start_time = run.get("start_time") + end_time = run.get("end_time") + duration_ms = run.get("execution_duration") # Use execution_duration if available + + duration = "N/A" + if duration_ms is not None and duration_ms > 0: + duration = f"{duration_ms / 1000:.2f}s" + elif start_time and end_time: + # Fallback calculation if execution_duration missing + duration = f"{(end_time - start_time) / 1000:.2f}s" + + start_time_str = datetime.datetime.fromtimestamp(start_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if start_time else "N/A" + end_time_str = datetime.datetime.fromtimestamp(end_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if end_time else "N/A" + + table_rows.append(f"| {run_id} | {state} | {start_time_str} | {end_time_str} | {duration} |") + + return "\n".join(table_rows) + +@mcp.tool() +@log_tool_errors +def get_job_details(job_id: int) -> str: + """Get detailed information about a specific Databricks job""" + # Decorator handles most exceptions + + # Basic input validation (raises ValueError handled by decorator) + if not isinstance(job_id, int) or job_id <= 0: + raise ValueError("Invalid Job ID provided.") + + try: + response = databricks_api_request(f"jobs/get?job_id={job_id}", method="GET") + except req_exc.HTTPError as http_err: + # Specifically check for 404 for job not found before decorator + if http_err.response.status_code == 404: + logging.warning(f"Job ID {job_id} not found (404) in get_job_details.") # Log warning + return f"Error: Job ID {job_id} not found." # Return specific message + else: + raise # Re-raise other HTTP errors for the decorator to handle + + # Error handling for unexpected API response structure (raise for decorator) + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for get_job_details: {type(response)}") + raise TypeError("Received unexpected API response format.") + + # Safer access using .get() + settings = response.get("settings", {}) + job_name = settings.get("name", "N/A") + created_time = response.get("created_time") + creator_user_name = response.get('creator_user_name', 'N/A') + tasks = settings.get("tasks", []) + + # Convert timestamp to readable format + import datetime # Import moved inside for scope + created_time_str = datetime.datetime.fromtimestamp(created_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if created_time else "N/A" + + result_lines = [f"## Job Details: {job_name}\n"] + result_lines.append(f"- **Job ID:** {job_id}") + result_lines.append(f"- **Created:** {created_time_str}") + result_lines.append(f"- **Creator:** {creator_user_name}\n") + + if isinstance(tasks, list) and tasks: # Check tasks is a non-empty list + result_lines.append("### Tasks:\n") + result_lines.append("| Task Key | Task Type | Description |") + result_lines.append("| -------- | --------- | ----------- |") + + for task in tasks: + if not isinstance(task, dict): + logging.warning(f"Skipping invalid task item in get_job_details: {task}") + continue + + task_key = task.get("task_key", "N/A") + # Simplified task type extraction (assuming one _task key) + task_type = next((k.replace('_task', '') for k in task if k.endswith('_task')), "N/A") + description = task.get("description", "N/A") + + result_lines.append(f"| {task_key} | {task_type} | {description} |") + else: + result_lines.append("No tasks defined for this job.") + + return "\n".join(result_lines) + +@mcp.tool() +@log_tool_errors # Apply decorator for fallback error handling +def test_databricks_connections() -> str: + """Tests connections to Databricks API and SQL Warehouse using configured credentials.""" + results = [] + env_ok = True + api_ok = False + sql_ok = False + + # 1. Check Environment Variables (implicitly by trying to use helpers) + results.append("### Environment Variable Check") + try: + # Check if critical vars are present (databricks_api_request checks HOST/TOKEN) + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): + raise ValueError("DATABRICKS_HOST or DATABRICKS_TOKEN missing") + # Check if SQL vars are present (get_databricks_connection checks all three) + if not DATABRICKS_HTTP_PATH: + raise ValueError("DATABRICKS_HTTP_PATH missing") + # Attempt to get connection which checks all three SQL vars + results.append("✅ Required environment variables seem configured.") + + except ValueError as e: + results.append(f"❌ Failed: {str(e)}") + env_ok = False + except Exception as e: # Catch other potential issues during connection check + results.append(f"❌ Unexpected error checking environment/connection init: {str(e)}") + env_ok = False + + # 2. Test Databricks API Connection (only if env vars seem okay) + results.append("\n### Databricks API Test") + if env_ok: + try: + # Use a simple, common API endpoint + databricks_api_request("clusters/list-node-types") + results.append("✅ Successfully connected to Databricks API.") + api_ok = True + except req_exc.HTTPError as http_err: + results.append(f"❌ API Connection Failed: {http_err.response.status_code} {http_err.response.reason}") + except req_exc.RequestException as req_err: + results.append(f"❌ API Connection Error: {str(req_err)}") + except ValueError as e: # From databricks_api_request internal checks + results.append(f"❌ API Configuration Error: {str(e)}") + # Let decorator handle other unexpected errors + else: + results.append("⚪ Skipped (due to environment variable issues).") + + # 3. Test Databricks SQL Warehouse Connection (only if env vars seem okay) + results.append("\n### Databricks SQL Warehouse Test") + if env_ok: + try: + conn = get_databricks_connection() # Re-establish connection + cursor = conn.cursor() + cursor.execute("SELECT 1") + result = cursor.fetchall() + cursor.close() + # Do not close conn here, let get_databricks_connection manage it + if result and result[0][0] == 1: + results.append("✅ Successfully connected and queried SQL warehouse.") + sql_ok = True + else: + results.append("❌ Connected to SQL warehouse, but test query failed.") + except db_exc.Error as db_error: + results.append(f"❌ SQL Connection/Query Failed: {str(db_error)}") + except ValueError as e: # From get_databricks_connection internal checks + results.append(f"❌ SQL Configuration Error: {str(e)}") + # Let decorator handle other unexpected errors + else: + results.append("⚪ Skipped (due to environment variable issues).") + + # 4. Summary + results.append("\n### Summary") + results.append(f"- Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") + results.append(f"- Databricks API: {'✅ OK' if api_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") + results.append(f"- Databricks SQL: {'✅ OK' if sql_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") + + if env_ok and api_ok and sql_ok: + results.append("\n✅ All connection tests passed!") + else: + results.append("\n❌ One or more connection tests failed.") + + return "\n".join(results) + DATABRICKS_HOST + +def main(): + print("Starting MCP server") + test_databricks_connections() + # Setup basic logging + logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') + mcp.run() + +if __name__ == "__main__": + main() diff --git a/servers/developer_tools/src/test_connection.py b/servers/developer_tools/src/test_connection.py new file mode 100644 index 0000000..5a971ab --- /dev/null +++ b/servers/developer_tools/src/test_connection.py @@ -0,0 +1,128 @@ +#!/usr/bin/env python +""" +Databricks Connection Test Script +This script tests the connection to Databricks using credentials from the .env file. +It attempts to connect to both the SQL warehouse and the Databricks API. +""" + +import os +from dotenv import load_dotenv +import sys + +# Load environment variables +load_dotenv() + +# Get Databricks credentials from environment variables +DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") +DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") +DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") + +def check_env_vars(): + """Check if all required environment variables are set""" + missing = [] + if not DATABRICKS_HOST: + missing.append("DATABRICKS_HOST") + if not DATABRICKS_TOKEN: + missing.append("DATABRICKS_TOKEN") + if not DATABRICKS_HTTP_PATH: + missing.append("DATABRICKS_HTTP_PATH") + + if missing: + print("❌ Missing required environment variables:") + for var in missing: + print(f" - {var}") + print("\nPlease check your .env file and make sure all required variables are set.") + return False + + print("✅ All required environment variables are set") + return True + +def test_databricks_api(): + """Test connection to Databricks API""" + import requests + + print("\nTesting Databricks API connection...") + + try: + headers = { + "Authorization": f"Bearer {DATABRICKS_TOKEN}", + "Content-Type": "application/json" + } + + url = f"https://{DATABRICKS_HOST}/api/2.0/clusters/list-node-types" + response = requests.get(url, headers=headers) + + if response.status_code == 200: + print("✅ Successfully connected to Databricks API") + return True + else: + print(f"❌ Failed to connect to Databricks API: {response.status_code} - {response.text}") + return False + except Exception as e: + print(f"❌ Error connecting to Databricks API: {str(e)}") + return False + +def test_sql_connection(): + """Test connection to Databricks SQL warehouse""" + print("\nTesting Databricks SQL warehouse connection...") + + try: + from databricks.sql import connect + + conn = connect( + server_hostname=DATABRICKS_HOST, + http_path=DATABRICKS_HTTP_PATH, + access_token=DATABRICKS_TOKEN + ) + + cursor = conn.cursor() + cursor.execute("SELECT 1 AS test") + result = cursor.fetchall() + + if result and result[0][0] == 1: + print("✅ Successfully connected to Databricks SQL warehouse") + conn.close() + return True + else: + print("❌ Failed to get expected result from SQL warehouse") + conn.close() + return False + except Exception as e: + print(f"❌ Error connecting to Databricks SQL warehouse: {str(e)}") + return False + +if __name__ == "__main__": + print("Databricks Connection Test") + print("=========================\n") + + # Check for dependencies + try: + import requests + from databricks.sql import connect + except ImportError as e: + print(f"❌ Missing dependency: {str(e)}") + print("Please run: pip install -r requirements.txt") + sys.exit(1) + + # Run tests + env_ok = check_env_vars() + + if not env_ok: + sys.exit(1) + + api_ok = test_databricks_api() + sql_ok = test_sql_connection() + + # Summary + print("\nTest Summary") + print("===========") + print(f"Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") + print(f"Databricks API: {'✅ OK' if api_ok else '❌ Failed'}") + print(f"Databricks SQL: {'✅ OK' if sql_ok else '❌ Failed'}") + + if env_ok and api_ok and sql_ok: + print("\n✅ All tests passed! Your Databricks MCP server should work correctly.") + sys.exit(0) + else: + print("\n❌ Some tests failed. 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tools mcp with uv and docker --- servers/developer_tools/{src => }/Dockerfile | 20 ++- servers/developer_tools/LICENSE | 23 ++++ servers/developer_tools/README.md | 38 +++++- servers/developer_tools/pyproject.toml | 17 ++- .../src/developer_tools_mcp/__init__.py | 20 +++ .../src/developer_tools_mcp/__main__.py | 5 + .../server-old.py} | 8 +- .../src/developer_tools_mcp/server.py | 61 ++++++++++ .../test_connection.py | 0 .../src/developer_tools_mcp/tools/__init__.py | 20 +++ .../developer_tools_mcp/tools/base_tool.py | 13 ++ .../src/developer_tools_mcp/tools/jobs.py | 84 +++++++++++++ .../developer_tools_mcp/tools/sql_query.py | 111 +++++++++++++++++ .../tools/test_connection.py | 115 ++++++++++++++++++ .../src/developer_tools_mcp/version.py | 1 + servers/developer_tools/src/requirements.txt | 6 - servers/developer_tools/uv.lock | 109 ++++++++++++++--- 17 files changed, 603 insertions(+), 48 deletions(-) rename servers/developer_tools/{src => }/Dockerfile (52%) create mode 100644 servers/developer_tools/LICENSE create mode 100644 servers/developer_tools/src/developer_tools_mcp/__init__.py create mode 100644 servers/developer_tools/src/developer_tools_mcp/__main__.py rename servers/developer_tools/src/{server.py => developer_tools_mcp/server-old.py} (99%) create mode 100644 servers/developer_tools/src/developer_tools_mcp/server.py rename servers/developer_tools/src/{ => developer_tools_mcp}/test_connection.py (100%) create mode 100644 servers/developer_tools/src/developer_tools_mcp/tools/__init__.py create mode 100644 servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py create mode 100644 servers/developer_tools/src/developer_tools_mcp/tools/jobs.py create mode 100644 servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py create mode 100644 servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py create mode 100644 servers/developer_tools/src/developer_tools_mcp/version.py delete mode 100644 servers/developer_tools/src/requirements.txt diff --git a/servers/developer_tools/src/Dockerfile b/servers/developer_tools/Dockerfile similarity index 52% rename from servers/developer_tools/src/Dockerfile rename to servers/developer_tools/Dockerfile index 9d5f5cf..8d9d8be 100644 --- a/servers/developer_tools/src/Dockerfile +++ b/servers/developer_tools/Dockerfile @@ -1,17 +1,15 @@ -FROM python:3.10-slim +FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim # Set the working directory in the container WORKDIR /app -# Copy requirements first to leverage Docker cache -COPY requirements.txt . +# Copy package configuration and requirements +COPY ./pyproject.toml ./pyproject.toml +COPY ./uv.lock ./uv.lock +COPY ./README.md ./README.md -# Install dependencies -RUN pip install --no-cache-dir -r requirements.txt - - -# Copy the rest of the application code into the container at /app -COPY . . +# Copy the package code +COPY ./src ./src # Make port 8000 available to the world outside this container # (MCP servers typically run on port 8000 by default) @@ -22,5 +20,5 @@ ENV DATABRICKS_HOST="" ENV DATABRICKS_TOKEN="" ENV DATABRICKS_HTTP_PATH="" -# Run main.py when the container launches -CMD ["python", "server.py"] \ No newline at end of file +# Run the module properly +CMD ["uv", "run", "developer-tools-mcp"] \ No newline at end of file diff --git a/servers/developer_tools/LICENSE b/servers/developer_tools/LICENSE new file mode 100644 index 0000000..f33f180 --- /dev/null +++ b/servers/developer_tools/LICENSE @@ -0,0 +1,23 @@ +# DB license +Definitions. + +Agreement: The agreement between Databricks, Inc., and you governing the use of the Databricks Services, as that term is defined in the Master Cloud Services Agreement (MCSA) located at www.databricks.com/legal/mcsa. + +Licensed Materials: The source code, object code, data, and/or other works to which this license applies. + +Scope of Use. You may not use the Licensed Materials except in connection with your use of the Databricks Services pursuant to the Agreement. Your use of the Licensed Materials must comply at all times with any restrictions applicable to the Databricks Services, generally, and must be used in accordance with any applicable documentation. You may view, use, copy, modify, publish, and/or distribute the Licensed Materials solely for the purposes of using the Licensed Materials within or connecting to the Databricks Services. If you do not agree to these terms, you may not view, use, copy, modify, publish, and/or distribute the Licensed Materials. + +Redistribution. You may redistribute and sublicense the Licensed Materials so long as all use is in compliance with these terms. In addition: + +You must give any other recipients a copy of this License; +You must cause any modified files to carry prominent notices stating that you changed the files; +You must retain, in any derivative works that you distribute, all copyright, patent, trademark, and attribution notices, excluding those notices that do not pertain to any part of the derivative works; and +If a "NOTICE" text file is provided as part of its distribution, then any derivative works that you distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the derivative works. +You may add your own copyright statement to your modifications and may provide additional license terms and conditions for use, reproduction, or distribution of your modifications, or for any such derivative works as a whole, provided your use, reproduction, and distribution of the Licensed Materials otherwise complies with the conditions stated in this License. + +Termination. This license terminates automatically upon your breach of these terms or upon the termination of your Agreement. Additionally, Databricks may terminate this license at any time on notice. Upon termination, you must permanently delete the Licensed Materials and all copies thereof. + + +DISCLAIMER; LIMITATION OF LIABILITY. + +THE LICENSED MATERIALS ARE PROVIDED “AS-IS” AND WITH ALL FAULTS. DATABRICKS, ON BEHALF OF ITSELF AND ITS LICENSORS, SPECIFICALLY DISCLAIMS ALL WARRANTIES RELATING TO THE LICENSED MATERIALS, EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, IMPLIED WARRANTIES, CONDITIONS AND OTHER TERMS OF MERCHANTABILITY, SATISFACTORY QUALITY OR FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. DATABRICKS AND ITS LICENSORS TOTAL AGGREGATE LIABILITY RELATING TO OR ARISING OUT OF YOUR USE OF OR DATABRICKS’ PROVISIONING OF THE LICENSED MATERIALS SHALL BE LIMITED TO ONE THOUSAND ($1,000) DOLLARS. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE LICENSED MATERIALS OR THE USE OR OTHER DEALINGS IN THE LICENSED MATERIALS. diff --git a/servers/developer_tools/README.md b/servers/developer_tools/README.md index f78ef62..f5624a5 100644 --- a/servers/developer_tools/README.md +++ b/servers/developer_tools/README.md @@ -17,22 +17,35 @@ A Model Context Protocol server that exposes common Databricks developer actions 1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/) 1. Install Python using `uv python install 3.12` 1. Clone this repo `git clone https://github.com/databrickslabs/mcp.git` +1. Create a file named `.env` 1. Add to your `claude_desktop_config.json`: ```json { "mcpServers": { - "databricks_developer_tools": { + "databricks-developer-tools": { "command": "uv", "args": [ "run", - "/path/to/repo/servers/developer_tools/src/server.py" + "--directory", + "path/to/developer/tools/folder", + "--env-file", + "path/to/envfile/.env", + "developer-tools-mcp" ] } } } ``` +Create the file named `.env` with the following content: + +``` +DATABRICKS_HOST=dbc-123abc45-6def.cloud.databricks.com +DATABRICKS_TOKEN=dapi123456789abcdef +DATABRICKS_HTTP_PATH=/sql/1.0/warehouses/abc123def456ghi +``` +
@@ -76,8 +89,13 @@ Then update your `claude_desktop_config.json`: "databricks_developer_tools": { "command": "python", "args": [ - "/path/to/databricks-developer-tools/src/server.py" - ] + "/path/to/databricks-developer-tools/src/developer_tools_mcp" + ], + "env": { + "DATABRICKS_HOST": "", + "DATABRICKS_TOKEN": "", + "DATABRICKS_HTTP_PATH": "" + } } } } @@ -87,6 +105,18 @@ Then update your `claude_desktop_config.json`: ## Supported tools +The following tools are currently implemented and available: + +### Jobs Management +- **list_jobs**: Lists all jobs in the workspace with basic information like job ID, name, and creator. +- **get_job**: Gets detailed information about a specific job by ID. + +### SQL Querying +- **run_sql_query**: Executes SQL queries on Databricks SQL warehouse and returns results as a markdown table. Useful for data exploration and extraction. + +### Connection Testing +- **test_connection**: Tests connectivity to both the Databricks API and SQL warehouse to verify your credentials and configuration. + ## TODO: - Publish the MCP as pypi package to avoid cloning the repo when using uv. - Publish Docker image to dockerHub to avoid building the image when using docker. diff --git a/servers/developer_tools/pyproject.toml b/servers/developer_tools/pyproject.toml index 9fef877..58f204c 100644 --- a/servers/developer_tools/pyproject.toml +++ b/servers/developer_tools/pyproject.toml @@ -1,7 +1,20 @@ [project] -name = "mcp-server-databricks" +name = "developer-tools-mcp" version = "0.0.1" description = "MCP server for Databricks developer tools" readme = "README.md" requires-python = ">=3.10" -dependencies = ["mcp>=1.0.0", "databricks-sql-connector>=2.4.0", "requests>=2.31.0", "packaging>=23.0"] +dependencies = [ + "mcp>=1.0.0", + "databricks-sql-connector>=2.4.0", + "requests>=2.31.0", + "packaging>=23.0", + "databricks-sdk" +] + +[project.scripts] +developer-tools-mcp = "developer_tools_mcp:main" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" \ No newline at end of file diff --git a/servers/developer_tools/src/developer_tools_mcp/__init__.py b/servers/developer_tools/src/developer_tools_mcp/__init__.py new file mode 100644 index 0000000..0b2410c --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/__init__.py @@ -0,0 +1,20 @@ +import sys +from traceback import format_exc +from developer_tools_mcp.server import start +from developer_tools_mcp.version import VERSION + +from databricks.sdk.config import with_user_agent_extra + + +def main() -> None: + import asyncio + + with_user_agent_extra(key="developer-tools-mcp", value=VERSION) + asyncio.run(start()) + + +if __name__ == "__main__": + try: + main() + except Exception as _: + print(format_exc(), file=sys.stderr) \ No newline at end of file diff --git a/servers/developer_tools/src/developer_tools_mcp/__main__.py b/servers/developer_tools/src/developer_tools_mcp/__main__.py new file mode 100644 index 0000000..521134b --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/__main__.py @@ -0,0 +1,5 @@ +from developer_tools_mcp import main + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/servers/developer_tools/src/server.py b/servers/developer_tools/src/developer_tools_mcp/server-old.py similarity index 99% rename from servers/developer_tools/src/server.py rename to servers/developer_tools/src/developer_tools_mcp/server-old.py index bb5bfb2..82bd764 100644 --- a/servers/developer_tools/src/server.py +++ b/servers/developer_tools/src/developer_tools_mcp/server-old.py @@ -448,13 +448,9 @@ def test_databricks_connections() -> str: results.append("\n❌ One or more connection tests failed.") return "\n".join(results) + DATABRICKS_HOST + -def main(): - print("Starting MCP server") +if __name__ == "__main__": test_databricks_connections() - # Setup basic logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') mcp.run() - -if __name__ == "__main__": - main() diff --git a/servers/developer_tools/src/developer_tools_mcp/server.py b/servers/developer_tools/src/developer_tools_mcp/server.py new file mode 100644 index 0000000..9afd20c --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/server.py @@ -0,0 +1,61 @@ +import logging +import collections + +from mcp.server import NotificationOptions, Server +from mcp.server.stdio import stdio_server +from mcp.types import Tool as ToolSpec + +from developer_tools_mcp.tools import list_all_tools +from developer_tools_mcp.tools.base_tool import BaseTool +from developer_tools_mcp.version import VERSION + +# The logger instance for this module. +LOGGER = logging.getLogger(__name__) + + +def _warn_if_duplicate_tool_names(tools: list[BaseTool]): + tool_names = [tool.tool_spec.name for tool in tools] + duplicate_tool_names = [ + item for item, count in collections.Counter(tool_names).items() if count > 1 + ] + if duplicate_tool_names: + LOGGER.warning( + f"Duplicate tool names detected: {duplicate_tool_names}. " + f"For each duplicate tool name, picking one of the tools with that name." + ) + + +def get_tools_dict() -> dict[str, BaseTool]: + """ + Returns a dictionary of all tools with their names as keys and tool objects as values. + """ + # Collect all tools from different modules + all_tools = list_all_tools() + + # Add additional tools here as they become available + # all_tools.extend(other_module_tools()) + + _warn_if_duplicate_tool_names(all_tools) + return {tool.tool_spec.name: tool for tool in all_tools} + + +async def start() -> None: + server = Server(name="mcp-developer-tools", version=VERSION) + tools_dict = get_tools_dict() + + @server.list_tools() + async def list_tools() -> list[ToolSpec]: + return [tool.tool_spec for tool in tools_dict.values()] + + @server.call_tool() + async def call_tool(name: str, arguments: dict) -> list: + tool = tools_dict[name] + return tool.execute(**arguments) + + options = server.create_initialization_options( + notification_options=NotificationOptions( + resources_changed=True, tools_changed=True + ) + ) + async with stdio_server() as (read_stream, write_stream): + await server.run(read_stream, write_stream, options, raise_exceptions=True) \ No newline at end of file diff --git a/servers/developer_tools/src/test_connection.py b/servers/developer_tools/src/developer_tools_mcp/test_connection.py similarity index 100% rename from servers/developer_tools/src/test_connection.py rename to servers/developer_tools/src/developer_tools_mcp/test_connection.py diff --git a/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py b/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py new file mode 100644 index 0000000..aef47d6 --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py @@ -0,0 +1,20 @@ +from typing import TypeAlias, Union +from mcp.types import ( + TextContent, + ImageContent, + EmbeddedResource, +) + +from developer_tools_mcp.tools.jobs import list_jobs_tool +from developer_tools_mcp.tools.test_connection import test_connection_tool +from developer_tools_mcp.tools.sql_query import sql_query_tool + +Content: TypeAlias = Union[TextContent, ImageContent, EmbeddedResource] + + +def list_all_tools(): + tools = [] + tools.extend(list_jobs_tool()) + tools.extend(test_connection_tool()) + tools.extend(sql_query_tool()) + return tools \ No newline at end of file diff --git a/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py b/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py new file mode 100644 index 0000000..2603d9c --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py @@ -0,0 +1,13 @@ +from mcp.types import Tool as ToolSpec + +# Define a new abstract class for a tool +from abc import ABC, abstractmethod + + +class BaseTool(ABC): + def __init__(self, tool_spec: ToolSpec): + self.tool_spec = tool_spec + + @abstractmethod + def execute(self, **kwargs): + pass \ No newline at end of file diff --git a/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py b/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py new file mode 100644 index 0000000..ce37ac0 --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py @@ -0,0 +1,84 @@ +import os +import functools +import time +import json +import logging +from typing import Union +from pydantic import BaseModel, Field +from pydantic.json import pydantic_encoder + +from databricks.sdk import WorkspaceClient +from databricks.sdk.service import jobs +from mcp.types import TextContent, Tool as ToolSpec + +from developer_tools_mcp.tools.base_tool import BaseTool + +# Logger +LOGGER = logging.getLogger(__name__) + +# --- Input Schemas --- + +class ListJobsInput(BaseModel): + pass + + +class GetJobInput(BaseModel): + job_id: int + +# --- Tool Implementations --- + +def _list_jobs(client, args) -> list[TextContent]: + model = ListJobsInput.model_validate(args) + + jobs = client.jobs.list() + # iterator to json + jobs_json = [job.as_dict() for job in jobs] + return [ + TextContent( + type="text", + text=json.dumps(jobs_json), + ) + ] + +def _get_job(client, args) -> list[TextContent]: + model = GetJobInput.model_validate(args) + job = client.jobs.get(model.job_id) + + return [ + TextContent( + type="text", + text=json.dumps(job.as_dict()), + ) + ] + +# --- Tool Registry --- + +class JobsTool(BaseTool): + def __init__(self, name, description, input_schema, func): + self.func = func + tool_spec = ToolSpec( + name=name, + description=description, + inputSchema=input_schema, + ) + super().__init__(tool_spec) + + def execute(self, **kwargs): + return self.func(client=WorkspaceClient( + host=os.getenv("DATABRICKS_HOST"), + token=os.getenv("DATABRICKS_TOKEN") + ), args=kwargs) + +def list_jobs_tool() -> list[JobsTool]: + return [JobsTool( + name="list_jobs", + description="List all jobs in the workspace.", + input_schema=ListJobsInput.model_json_schema(), + func=_list_jobs, + ), + JobsTool( + name="get_job", + description="Get a job by ID.", + input_schema=GetJobInput.model_json_schema(), + func=_get_job, + )] \ No newline at end of file diff --git a/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py b/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py new file mode 100644 index 0000000..295f1fe --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py @@ -0,0 +1,111 @@ +import os +import json +import logging +from typing import Union +from pydantic import BaseModel, Field +from pydantic.json import pydantic_encoder + +from databricks.sql import connect +from mcp.types import TextContent, Tool as ToolSpec + +from developer_tools_mcp.tools.base_tool import BaseTool + +# Logger +LOGGER = logging.getLogger(__name__) + +# --- Input Schemas --- + +class SqlQueryInput(BaseModel): + query: str = Field(..., description="The SQL query to execute") + + +# --- Tool Implementations --- + +def _run_sql_query(client, args) -> list[TextContent]: + model = SqlQueryInput.model_validate(args) + + try: + # Connect to SQL warehouse + if not all([os.getenv("DATABRICKS_HOST"), os.getenv("DATABRICKS_TOKEN"), os.getenv("DATABRICKS_HTTP_PATH")]): + raise ValueError("Missing required Databricks connection details in environment variables") + + sql_connection = connect( + server_hostname=os.getenv("DATABRICKS_HOST"), + http_path=os.getenv("DATABRICKS_HTTP_PATH"), + access_token=os.getenv("DATABRICKS_TOKEN") + ) + + cursor = sql_connection.cursor() + result = cursor.execute(model.query) + + if result.description: + columns = [col[0] for col in result.description] + rows = result.fetchall() + + if not rows: + cursor.close() + sql_connection.close() + return [ + TextContent( + type="text", + text="Query executed successfully. No results returned." + ) + ] + + # Format as markdown table + table = "| " + " | ".join(columns) + " |\n" + table += "| " + " | ".join(["---" for _ in columns]) + " |\n" + for row in rows: + table += "| " + " | ".join([str(cell) for cell in row]) + " |\n" + + cursor.close() + sql_connection.close() + + return [ + TextContent( + type="text", + text=table + ) + ] + else: + cursor.close() + sql_connection.close() + return [ + TextContent( + type="text", + text="Query executed successfully. No results returned." + ) + ] + + except Exception as e: + LOGGER.error(f"Error executing SQL query: {e}") + return [ + TextContent( + type="text", + text=f"Error executing SQL query: {str(e)}" + ) + ] + + +# --- Tool Registry --- + +class SqlQueryTool(BaseTool): + def __init__(self, name, description, input_schema, func): + self.func = func + tool_spec = ToolSpec( + name=name, + description=description, + inputSchema=input_schema, + ) + super().__init__(tool_spec) + + def execute(self, **kwargs): + return self.func(client=None, args=kwargs) + +def sql_query_tool() -> list[SqlQueryTool]: + return [SqlQueryTool( + name="run_sql_query", + description="Execute SQL queries on Databricks SQL warehouse and return results as a markdown table.", + input_schema=SqlQueryInput.model_json_schema(), + func=_run_sql_query, + )] diff --git a/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py b/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py new file mode 100644 index 0000000..299d4eb --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py @@ -0,0 +1,115 @@ +import os +import json +import logging +import requests +from typing import Union, Dict +from pydantic import BaseModel + +from databricks.sdk import WorkspaceClient +from databricks.sql import connect +from mcp.types import TextContent, Tool as ToolSpec + +from developer_tools_mcp.tools.base_tool import BaseTool + +# Logger +LOGGER = logging.getLogger(__name__) + +# --- Input Schemas --- + +class TestConnectionInput(BaseModel): + pass + +# --- Tool Implementations --- + +def _test_connection(client, args) -> list[TextContent]: + model = TestConnectionInput.model_validate(args) + + results = { + "databricks_api": False, + "sql_warehouse": False, + "host": os.getenv("DATABRICKS_HOST", "Not set"), + "token": os.getenv("DATABRICKS_TOKEN", "Not set"), + "http_path": os.getenv("DATABRICKS_HTTP_PATH", "Not set"), + "details": {} + } + + # Test 1: Databricks API + try: + # Test Databricks API access + me = client.current_user.me() + results["databricks_api"] = True + results["details"]["current_user"] = me.user_name + results["details"]["user_info"] = me.as_dict() + except Exception as e: + LOGGER.error(f"Error connecting to Databricks API: {e}") + results["details"]["api_error"] = str(e) + + # Test 2: Databricks SQL Warehouse + if "Not set" not in [results["host"], results["token"], results["http_path"]]: + try: + # Connect to SQL warehouse and execute a simple query + sql_connection = connect( + server_hostname=os.getenv("DATABRICKS_HOST"), + http_path=os.getenv("DATABRICKS_HTTP_PATH"), + access_token=os.getenv("DATABRICKS_TOKEN"), + _socket_timeout=10 #TODO: This is not actually timing out the connection + ) + cursor = sql_connection.cursor() + cursor.execute("SELECT 1 AS test_value") + result = cursor.fetchall() + cursor.close() + sql_connection.close() + + results["sql_warehouse"] = True + results["details"]["sql_test_query"] = "Successfully executed test query: SELECT 1" + results["details"]["sql_result"] = str(result) + + + except Exception as e: + LOGGER.error(f"Error connecting to Databricks SQL Warehouse: {e}") + results["details"]["sql_error"] = str(e) + + # Summarize overall status + if results["databricks_api"]: + if results.get("sql_warehouse", False): + results["status"] = "Success" + results["message"] = "All connections successful" + else: + results["status"] = "Partial Success" + results["message"] = "API connected, but SQL Warehouse connection failed" + else: + results["status"] = "Failed" + results["message"] = "Unable to connect to Databricks" + + return [ + TextContent( + type="text", + text=json.dumps(results), + ) + ] + +# --- Tool Registry --- + +class TestConnectionTool(BaseTool): + def __init__(self, name, description, input_schema, func): + self.func = func + tool_spec = ToolSpec( + name=name, + description=description, + inputSchema=input_schema, + ) + super().__init__(tool_spec) + + def execute(self, **kwargs): + return self.func(client=WorkspaceClient( + host=os.getenv("DATABRICKS_HOST"), + token=os.getenv("DATABRICKS_TOKEN") + ), args=kwargs) + +def test_connection_tool() -> list[TestConnectionTool]: + return [TestConnectionTool( + name="test_connection", + description="Tests Databricks connections (API and SQL Warehouse).", + input_schema=TestConnectionInput.model_json_schema(), + func=_test_connection, + )] \ No newline at end of file diff --git a/servers/developer_tools/src/developer_tools_mcp/version.py b/servers/developer_tools/src/developer_tools_mcp/version.py new file mode 100644 index 0000000..ddf219d --- /dev/null +++ b/servers/developer_tools/src/developer_tools_mcp/version.py @@ -0,0 +1 @@ +VERSION = "0.1.0" \ No newline at end of file diff --git a/servers/developer_tools/src/requirements.txt b/servers/developer_tools/src/requirements.txt deleted file mode 100644 index d1f0931..0000000 --- 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a/servers/developer_tools/src/developer_tools_mcp/server-old.py b/servers/developer_tools/src/developer_tools_mcp/server-old.py deleted file mode 100644 index 82bd764..0000000 --- a/servers/developer_tools/src/developer_tools_mcp/server-old.py +++ /dev/null @@ -1,456 +0,0 @@ -import os -from typing import Dict -from dotenv import load_dotenv -from databricks.sql import connect, exc as db_exc # Import Databricks SQL exceptions -from databricks.sql.client import Connection -from mcp.server.fastmcp import FastMCP -import requests -from requests import exceptions as req_exc # Import requests exceptions -import logging -import functools # Import functools for wraps - -# Load environment variables -load_dotenv() - -# Get Databricks credentials from environment variables -DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") -DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") -DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") - -# Set up the MCP server -mcp = FastMCP("Databricks API Explorer") - -# Global variable to hold the Databricks SQL connection -_db_connection: Connection | None = None - -# Error handling decorator for MCP tools -def log_tool_errors(func): - """Decorator to handle common exceptions for MCP tools, log them, and return standardized error messages.""" - @functools.wraps(func) - def wrapper(*args, **kwargs): - tool_name = func.__name__ - try: - # Execute the original tool function - return func(*args, **kwargs) - except ValueError as e: - # Configuration/Input errors (raised by helpers or tool validation) - logging.error(f"Configuration/Input Error in {tool_name}: {e}", exc_info=False) - return f"Configuration/Input Error: {str(e)}" - except db_exc.Error as db_error: - # Databricks SQL specific errors - logging.error(f"Databricks SQL Error in {tool_name}: {db_error}", exc_info=True) - return f"Database Error: {str(db_error)}" - except req_exc.HTTPError as http_err: - # HTTP errors from API requests - status_code = http_err.response.status_code - reason = http_err.response.reason - # Note: Specific status code handling (like 404) should be done within the tool function - # if a custom message is needed, before this general handler catches it. - logging.error(f"API Request Failed in {tool_name}: {status_code} {reason} - Response: {http_err.response.text}", exc_info=False) - return f"API Request Failed: {status_code} {reason}" - except req_exc.RequestException as req_err: - # Other requests errors (connection, timeout, etc.) - logging.error(f"API Connection/Request Error in {tool_name}: {req_err}", exc_info=True) - return f"API Connection/Request Error: {str(req_err)}" - except (KeyError, TypeError, AttributeError, IndexError) as data_err: # Added IndexError for safety - # Errors processing data (e.g., API responses) - logging.error(f"Error processing data in {tool_name}: {data_err}", exc_info=True) - return f"Error processing data: {str(data_err)}" - except Exception as e: - # Catch-all for unexpected errors - logging.error(f"Unexpected Error in {tool_name}: {e}", exc_info=True) - return f"An unexpected error occurred: {str(e)}" - return wrapper - -# Helper function to get a reusable Databricks SQL connection -def get_databricks_connection() -> Connection: - """Create and return a reusable Databricks SQL connection.""" - global _db_connection - - # Check if connection exists and is open - if _db_connection is not None: - try: - # TODO: Easier way to check if the connection is still valid? - cursor = _db_connection.cursor() - cursor.execute("SELECT 1") - cursor.close() - logging.info("Reusing existing Databricks SQL connection.") - return _db_connection - except db_exc.Error as db_error: - logging.warning(f"Existing connection seems invalid (DB Error: {db_error}), creating a new one.") - try: - if _db_connection: - _db_connection.close() - except db_exc.Error: - pass - except Exception as close_exc: - logging.error(f"Unexpected error closing potentially broken DB connection: {close_exc}") - _db_connection = None - except Exception as e: - logging.warning(f"Unexpected error checking connection liveness ({e}), creating a new one.") - _db_connection = None - - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN, DATABRICKS_HTTP_PATH]): - # This case is critical configuration error, raising is appropriate - raise ValueError("Missing required Databricks connection details in .env file") - - try: - logging.info("Creating new Databricks SQL connection.") - _db_connection = connect( - server_hostname=DATABRICKS_HOST, - http_path=DATABRICKS_HTTP_PATH, - access_token=DATABRICKS_TOKEN - ) - return _db_connection - except db_exc.Error as db_connect_error: - logging.error(f"Failed to connect to Databricks SQL Warehouse: {db_connect_error}") - raise - except Exception as connect_exc: - logging.error(f"Unexpected error creating Databricks SQL connection: {connect_exc}") - raise - -# Helper function for Databricks REST API requests -def databricks_api_request(endpoint: str, method: str = "GET", data: Dict = None) -> Dict: - """Make a request to the Databricks REST API, handling common errors.""" - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): - # This case is critical configuration error, raising is appropriate - raise ValueError("Missing required Databricks API credentials in .env file") - - headers = { - "Authorization": f"Bearer {DATABRICKS_TOKEN}", - "Content-Type": "application/json" - } - - url = f"https://{DATABRICKS_HOST}/api/2.0/{endpoint}" - - try: - if method.upper() == "GET": - response = requests.get(url, headers=headers) - elif method.upper() == "POST": - response = requests.post(url, headers=headers, json=data) - else: - # Internal programming error - raise ValueError(f"Unsupported HTTP method: {method}") - - response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx) - return response.json() - - except req_exc.HTTPError as http_err: - logging.error(f"HTTP error occurred: {http_err} - Response: {http_err.response.text}") - raise - except req_exc.ConnectionError as conn_err: - logging.error(f"Connection error occurred: {conn_err}") - raise - except req_exc.Timeout as timeout_err: - logging.error(f"Request timed out: {timeout_err}") - raise - except req_exc.RequestException as req_err: - logging.error(f"An error occurred during the API request: {req_err}") - raise - except ValueError as val_err: - logging.error(f"API Request internal error: {val_err}") - raise - -@mcp.resource("schema://tables") -@log_tool_errors -def get_schema() -> str: - """Provide the list of tables in the Databricks SQL warehouse as a resource""" - # The decorator will handle exceptions - conn = get_databricks_connection() # Use the shared connection - cursor = conn.cursor() - tables = cursor.tables().fetchall() - - table_info = [] - for table in tables: - table_info.append(f"Database: {table.TABLE_CAT}, Schema: {table.TABLE_SCHEM}, Table: {table.TABLE_NAME}") - - cursor.close() - return "\n".join(table_info) - -@mcp.tool() -@log_tool_errors -def run_sql_query(sql: str) -> str: - """Execute SQL queries on Databricks SQL warehouse""" - # The decorator will handle exceptions - conn = get_databricks_connection() # Use the shared connection - cursor = conn.cursor() - result = cursor.execute(sql) - - if result.description: - columns = [col[0] for col in result.description] - rows = result.fetchall() - cursor.close() - - if not rows: - return "Query executed successfully. No results returned." - - # Format as markdown table - # Keep internal try/except for formatting issues, but let others bubble up - try: - table = "| " + " | ".join(columns) + " |\n" - table += "| " + " | ".join(["---" for _ in columns]) + " |\n" - for row in rows: - table += "| " + " | ".join([str(cell) for cell in row]) + " |\n" - return table - except Exception as format_exc: - logging.error(f"Error formatting SQL results: {format_exc}", exc_info=True) - # Return a specific error for formatting, not the generic one from the decorator - return f"Error formatting results: {str(format_exc)}" - else: - cursor.close() - return "Query executed successfully. No results returned." - -@mcp.tool() -@log_tool_errors -def list_jobs() -> str: - """List all Databricks jobs""" - # The decorator will handle exceptions - response = databricks_api_request("jobs/list") - - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for list_jobs: {type(response)}") - # Raise an error for the decorator to catch with a standard message - raise TypeError("Received unexpected API response format.") - - jobs = response.get("jobs") - if jobs is None: - if "error_code" in response: - logging.error(f"API error in list_jobs response: {response}") - # Let the decorator handle this as likely an API/Request error or data error - # depending on what databricks_api_request raised or if it succeeded but gave error payload - raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") - else: - return "No jobs found." - if not isinstance(jobs, list): - logging.error(f"Unexpected 'jobs' format in list_jobs response: {type(jobs)}") - raise TypeError("Received unexpected API response format for jobs list.") - - # Format as markdown table - table_rows = ["| Job ID | Job Name | Created By |", "| ------ | -------- | ---------- |"] - for job in jobs: - if not isinstance(job, dict): - logging.warning(f"Skipping invalid job item in list_jobs: {job}") - continue - job_id = job.get("job_id", "N/A") - job_name = job.get("settings", {}).get("name", "N/A") - creator = job.get("creator_user_name", "N/A") - - table_rows.append(f"| {job_id} | {job_name} | {creator} |") - - return "\n".join(table_rows) - -@mcp.tool() -@log_tool_errors -def get_job_status(job_id: int) -> str: - """Get the status of a specific Databricks job""" - # The decorator will handle general exceptions - - # Add basic input validation (can raise ValueError handled by decorator) - if not isinstance(job_id, int) or job_id <= 0: - raise ValueError("Invalid Job ID provided.") - - response = databricks_api_request("jobs/runs/list", data={"job_id": job_id}) - - # Error handling for unexpected API response structure (raise for decorator) - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for get_job_status: {type(response)}") - raise TypeError("Received unexpected API response format.") - - runs = response.get("runs") - if runs is None: - if "error_code" in response: - logging.error(f"API error in get_job_status response: {response}") - raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") - else: - return f"No runs found for job ID {job_id}." - if not isinstance(runs, list): - logging.error(f"Unexpected 'runs' format in get_job_status response: {type(runs)}") - raise TypeError("Received unexpected API response format for runs list.") - - if not runs: # Check if list is empty after verifying it's a list - return f"No runs found for job ID {job_id}." - - # Format as markdown table - import datetime # Import moved inside for scope - table_rows = ["| Run ID | State | Start Time | End Time | Duration |", "| ------ | ----- | ---------- | -------- | -------- |"] - - for run in runs: - if not isinstance(run, dict): - logging.warning(f"Skipping invalid run item in get_job_status: {run}") - continue - - run_id = run.get("run_id", "N/A") - # Safer access to nested state - state_info = run.get("state", {}) - state = state_info.get("life_cycle_state", "N/A") # life_cycle_state is often more useful - result_state = state_info.get("result_state") - if result_state: - state += f" ({result_state})" - - start_time = run.get("start_time") - end_time = run.get("end_time") - duration_ms = run.get("execution_duration") # Use execution_duration if available - - duration = "N/A" - if duration_ms is not None and duration_ms > 0: - duration = f"{duration_ms / 1000:.2f}s" - elif start_time and end_time: - # Fallback calculation if execution_duration missing - duration = f"{(end_time - start_time) / 1000:.2f}s" - - start_time_str = datetime.datetime.fromtimestamp(start_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if start_time else "N/A" - end_time_str = datetime.datetime.fromtimestamp(end_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if end_time else "N/A" - - table_rows.append(f"| {run_id} | {state} | {start_time_str} | {end_time_str} | {duration} |") - - return "\n".join(table_rows) - -@mcp.tool() -@log_tool_errors -def get_job_details(job_id: int) -> str: - """Get detailed information about a specific Databricks job""" - # Decorator handles most exceptions - - # Basic input validation (raises ValueError handled by decorator) - if not isinstance(job_id, int) or job_id <= 0: - raise ValueError("Invalid Job ID provided.") - - try: - response = databricks_api_request(f"jobs/get?job_id={job_id}", method="GET") - except req_exc.HTTPError as http_err: - # Specifically check for 404 for job not found before decorator - if http_err.response.status_code == 404: - logging.warning(f"Job ID {job_id} not found (404) in get_job_details.") # Log warning - return f"Error: Job ID {job_id} not found." # Return specific message - else: - raise # Re-raise other HTTP errors for the decorator to handle - - # Error handling for unexpected API response structure (raise for decorator) - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for get_job_details: {type(response)}") - raise TypeError("Received unexpected API response format.") - - # Safer access using .get() - settings = response.get("settings", {}) - job_name = settings.get("name", "N/A") - created_time = response.get("created_time") - creator_user_name = response.get('creator_user_name', 'N/A') - tasks = settings.get("tasks", []) - - # Convert timestamp to readable format - import datetime # Import moved inside for scope - created_time_str = datetime.datetime.fromtimestamp(created_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if created_time else "N/A" - - result_lines = [f"## Job Details: {job_name}\n"] - result_lines.append(f"- **Job ID:** {job_id}") - result_lines.append(f"- **Created:** {created_time_str}") - result_lines.append(f"- **Creator:** {creator_user_name}\n") - - if isinstance(tasks, list) and tasks: # Check tasks is a non-empty list - result_lines.append("### Tasks:\n") - result_lines.append("| Task Key | Task Type | Description |") - result_lines.append("| -------- | --------- | ----------- |") - - for task in tasks: - if not isinstance(task, dict): - logging.warning(f"Skipping invalid task item in get_job_details: {task}") - continue - - task_key = task.get("task_key", "N/A") - # Simplified task type extraction (assuming one _task key) - task_type = next((k.replace('_task', '') for k in task if k.endswith('_task')), "N/A") - description = task.get("description", "N/A") - - result_lines.append(f"| {task_key} | {task_type} | {description} |") - else: - result_lines.append("No tasks defined for this job.") - - return "\n".join(result_lines) - -@mcp.tool() -@log_tool_errors # Apply decorator for fallback error handling -def test_databricks_connections() -> str: - """Tests connections to Databricks API and SQL Warehouse using configured credentials.""" - results = [] - env_ok = True - api_ok = False - sql_ok = False - - # 1. Check Environment Variables (implicitly by trying to use helpers) - results.append("### Environment Variable Check") - try: - # Check if critical vars are present (databricks_api_request checks HOST/TOKEN) - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): - raise ValueError("DATABRICKS_HOST or DATABRICKS_TOKEN missing") - # Check if SQL vars are present (get_databricks_connection checks all three) - if not DATABRICKS_HTTP_PATH: - raise ValueError("DATABRICKS_HTTP_PATH missing") - # Attempt to get connection which checks all three SQL vars - results.append("✅ Required environment variables seem configured.") - - except ValueError as e: - results.append(f"❌ Failed: {str(e)}") - env_ok = False - except Exception as e: # Catch other potential issues during connection check - results.append(f"❌ Unexpected error checking environment/connection init: {str(e)}") - env_ok = False - - # 2. Test Databricks API Connection (only if env vars seem okay) - results.append("\n### Databricks API Test") - if env_ok: - try: - # Use a simple, common API endpoint - databricks_api_request("clusters/list-node-types") - results.append("✅ Successfully connected to Databricks API.") - api_ok = True - except req_exc.HTTPError as http_err: - results.append(f"❌ API Connection Failed: {http_err.response.status_code} {http_err.response.reason}") - except req_exc.RequestException as req_err: - results.append(f"❌ API Connection Error: {str(req_err)}") - except ValueError as e: # From databricks_api_request internal checks - results.append(f"❌ API Configuration Error: {str(e)}") - # Let decorator handle other unexpected errors - else: - results.append("⚪ Skipped (due to environment variable issues).") - - # 3. Test Databricks SQL Warehouse Connection (only if env vars seem okay) - results.append("\n### Databricks SQL Warehouse Test") - if env_ok: - try: - conn = get_databricks_connection() # Re-establish connection - cursor = conn.cursor() - cursor.execute("SELECT 1") - result = cursor.fetchall() - cursor.close() - # Do not close conn here, let get_databricks_connection manage it - if result and result[0][0] == 1: - results.append("✅ Successfully connected and queried SQL warehouse.") - sql_ok = True - else: - results.append("❌ Connected to SQL warehouse, but test query failed.") - except db_exc.Error as db_error: - results.append(f"❌ SQL Connection/Query Failed: {str(db_error)}") - except ValueError as e: # From get_databricks_connection internal checks - results.append(f"❌ SQL Configuration Error: {str(e)}") - # Let decorator handle other unexpected errors - else: - results.append("⚪ Skipped (due to environment variable issues).") - - # 4. Summary - results.append("\n### Summary") - results.append(f"- Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") - results.append(f"- Databricks API: {'✅ OK' if api_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") - results.append(f"- Databricks SQL: {'✅ OK' if sql_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") - - if env_ok and api_ok and sql_ok: - results.append("\n✅ All connection tests passed!") - else: - results.append("\n❌ One or more connection tests failed.") - - return "\n".join(results) + DATABRICKS_HOST - - -if __name__ == "__main__": - test_databricks_connections() - logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') - mcp.run() From d386a90e0d536ba57e758d96e8dd4ef101b736f1 Mon Sep 17 00:00:00 2001 From: JordiNeil Date: Sat, 26 Apr 2025 19:18:07 -0500 Subject: [PATCH 04/21] remove old test connection --- .../developer_tools_mcp/test_connection.py | 128 ------------------ 1 file changed, 128 deletions(-) delete mode 100644 servers/developer_tools/src/developer_tools_mcp/test_connection.py diff --git a/servers/developer_tools/src/developer_tools_mcp/test_connection.py b/servers/developer_tools/src/developer_tools_mcp/test_connection.py deleted file mode 100644 index 5a971ab..0000000 --- a/servers/developer_tools/src/developer_tools_mcp/test_connection.py +++ /dev/null @@ -1,128 +0,0 @@ -#!/usr/bin/env python -""" -Databricks Connection Test Script -This script tests the connection to Databricks using credentials from the .env file. -It attempts to connect to both the SQL warehouse and the Databricks API. -""" - -import os -from dotenv import load_dotenv -import sys - -# Load environment variables -load_dotenv() - -# Get Databricks credentials from environment variables -DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") -DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") -DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") - -def check_env_vars(): - """Check if all required environment variables are set""" - missing = [] - if not DATABRICKS_HOST: - missing.append("DATABRICKS_HOST") - if not DATABRICKS_TOKEN: - missing.append("DATABRICKS_TOKEN") - if not DATABRICKS_HTTP_PATH: - missing.append("DATABRICKS_HTTP_PATH") - - if missing: - print("❌ Missing required environment variables:") - for var in missing: - print(f" - {var}") - print("\nPlease check your .env file and make sure all required variables are set.") - return False - - print("✅ All required environment variables are set") - return True - -def test_databricks_api(): - """Test connection to Databricks API""" - import requests - - print("\nTesting Databricks API connection...") - - try: - headers = { - "Authorization": f"Bearer {DATABRICKS_TOKEN}", - "Content-Type": "application/json" - } - - url = f"https://{DATABRICKS_HOST}/api/2.0/clusters/list-node-types" - response = requests.get(url, headers=headers) - - if response.status_code == 200: - print("✅ Successfully connected to Databricks API") - return True - else: - print(f"❌ Failed to connect to Databricks API: {response.status_code} - {response.text}") - return False - except Exception as e: - print(f"❌ Error connecting to Databricks API: {str(e)}") - return False - -def test_sql_connection(): - """Test connection to Databricks SQL warehouse""" - print("\nTesting Databricks SQL warehouse connection...") - - try: - from databricks.sql import connect - - conn = connect( - server_hostname=DATABRICKS_HOST, - http_path=DATABRICKS_HTTP_PATH, - access_token=DATABRICKS_TOKEN - ) - - cursor = conn.cursor() - cursor.execute("SELECT 1 AS test") - result = cursor.fetchall() - - if result and result[0][0] == 1: - print("✅ Successfully connected to Databricks SQL warehouse") - conn.close() - return True - else: - print("❌ Failed to get expected result from SQL warehouse") - conn.close() - return False - except Exception as e: - print(f"❌ Error connecting to Databricks SQL warehouse: {str(e)}") - return False - -if __name__ == "__main__": - print("Databricks Connection Test") - print("=========================\n") - - # Check for dependencies - try: - import requests - from databricks.sql import connect - except ImportError as e: - print(f"❌ Missing dependency: {str(e)}") - print("Please run: pip install -r requirements.txt") - sys.exit(1) - - # Run tests - env_ok = check_env_vars() - - if not env_ok: - sys.exit(1) - - api_ok = test_databricks_api() - sql_ok = test_sql_connection() - - # Summary - print("\nTest Summary") - print("===========") - print(f"Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") - print(f"Databricks API: {'✅ OK' if api_ok else '❌ Failed'}") - print(f"Databricks SQL: {'✅ OK' if sql_ok else '❌ Failed'}") - - if env_ok and api_ok and sql_ok: - print("\n✅ All tests passed! Your Databricks MCP server should work correctly.") - sys.exit(0) - else: - print("\n❌ Some tests failed. Please check the errors above and fix your configuration.") - sys.exit(1) \ No newline at end of file From 756a97189200f0847ce2865dd3d752561dca924c Mon Sep 17 00:00:00 2001 From: Shingo OKAWA Date: Mon, 28 Apr 2025 14:06:43 +0900 Subject: [PATCH 05/21] Revert "Add auto-assign-on-comment.yaml (#14)" (#16) This reverts commit de9bef95181e5b8b519ca36fd35f8edc49034b3f. Signed-off-by: Shingo OKAWA --- .github/workflows/auto-assign-on-comment.yaml | 50 ------------------- 1 file changed, 50 deletions(-) delete mode 100644 .github/workflows/auto-assign-on-comment.yaml diff --git a/.github/workflows/auto-assign-on-comment.yaml b/.github/workflows/auto-assign-on-comment.yaml deleted file mode 100644 index 56b88d0..0000000 --- a/.github/workflows/auto-assign-on-comment.yaml +++ /dev/null @@ -1,50 +0,0 @@ -name: Auto Assign on 'take' Comment -on: - issue_comment: - types: [created] -permissions: - issues: write -jobs: - assign: - runs-on: ubuntu-latest - if: (!github.event.issue.pull_request) && contains(github.event.comment.body, 'take') - concurrency: - group: ${{ github.actor }}-auto-assign-issue - cancel-in-progress: true - steps: - - name: Auto assign if comment includes 'take' - uses: actions/github-script@v7 - with: - script: | - const body = context.payload.comment.body.toLowerCase(); - const author = context.payload.comment.user.login; - const issue = context.payload.issue; - - // Check if comment includes 'take' - if (!body.includes('take')) { - console.log("Comment does not include 'take'; skipping."); - return; - } - - // Check if already assigned - const alreadyAssigned = issue.assignees.find(a => a.login === author); - if (alreadyAssigned) { - console.log(`${author} is already assigned; skipping.`); - return; - } - - // Check if there is any other assignee - if (issue.assignees.length > 0) { - console.log("Issue already has an assignee; skipping assignment."); - return; - } - - // Assign to commenter - await github.rest.issues.addAssignees({ - owner: context.repo.owner, - repo: context.repo.repo, - issue_number: issue.number, - assignees: [author], - }); - - console.log(`Assigned ${author} to issue #${issue.number}`); \ No newline at end of file From 2938e108d55afc5ec5bde8acc851fcc4751c6df7 Mon Sep 17 00:00:00 2001 From: renardeinside Date: Tue, 29 Apr 2025 16:06:48 +0200 Subject: [PATCH 06/21] restructure project --- .gitignore | 3 + .../docs => docs}/images/demo.png | Bin pyproject.toml | 69 + servers/unity_catalog/LICENSE | 23 - servers/unity_catalog/pyproject.toml | 42 - .../src/unitycatalog_mcp/__main__.py | 5 - .../src/unitycatalog_mcp/version.py | 3 - src/databricks/__init__.py | 3 + src/databricks/labs/__init__.py | 3 + src/databricks/labs/mcp/servers/__init__.py | 0 .../mcp/servers}/developer_tools/README.md | 0 .../labs/mcp/servers}/unity_catalog/README.md | 0 .../mcp/servers/unity_catalog}/__init__.py | 4 +- .../mcp/servers/unity_catalog/__main__.py | 5 + .../labs/mcp/servers/unity_catalog}/cli.py | 0 .../labs/mcp/servers/unity_catalog}/server.py | 8 +- .../servers/unity_catalog}/tools/__init__.py | 6 +- .../servers/unity_catalog}/tools/base_tool.py | 0 .../servers/unity_catalog}/tools/functions.py | 2 +- .../mcp/servers/unity_catalog}/tools/genie.py | 2 +- .../unity_catalog}/tools/vector_search.py | 2 +- .../unity_catalog/tests => tests}/conftest.py | 2 +- .../unity_catalog/tests => tests}/test_cli.py | 2 +- .../tests => tests}/test_functions.py | 5 +- .../tests => tests}/test_genie.py | 6 +- .../tests => tests}/test_vector_search.py | 2 +- servers/unity_catalog/uv.lock => uv.lock | 1486 +++++++++-------- 27 files changed, 941 insertions(+), 742 deletions(-) rename {servers/unity_catalog/docs => docs}/images/demo.png (100%) create mode 100644 pyproject.toml delete mode 100644 servers/unity_catalog/LICENSE delete mode 100644 servers/unity_catalog/pyproject.toml delete mode 100644 servers/unity_catalog/src/unitycatalog_mcp/__main__.py delete mode 100644 servers/unity_catalog/src/unitycatalog_mcp/version.py create mode 100644 src/databricks/__init__.py create mode 100644 src/databricks/labs/__init__.py create mode 100644 src/databricks/labs/mcp/servers/__init__.py rename {servers => src/databricks/labs/mcp/servers}/developer_tools/README.md (100%) rename {servers => src/databricks/labs/mcp/servers}/unity_catalog/README.md (100%) rename {servers/unity_catalog/src/unitycatalog_mcp => src/databricks/labs/mcp/servers/unity_catalog}/__init__.py (73%) create mode 100644 src/databricks/labs/mcp/servers/unity_catalog/__main__.py rename {servers/unity_catalog/src/unitycatalog_mcp => src/databricks/labs/mcp/servers/unity_catalog}/cli.py (100%) rename {servers/unity_catalog/src/unitycatalog_mcp => src/databricks/labs/mcp/servers/unity_catalog}/server.py (88%) rename {servers/unity_catalog/src/unitycatalog_mcp => src/databricks/labs/mcp/servers/unity_catalog}/tools/__init__.py (57%) rename {servers/unity_catalog/src/unitycatalog_mcp => src/databricks/labs/mcp/servers/unity_catalog}/tools/base_tool.py (100%) rename {servers/unity_catalog/src/unitycatalog_mcp => src/databricks/labs/mcp/servers/unity_catalog}/tools/functions.py (95%) rename {servers/unity_catalog/src/unitycatalog_mcp => src/databricks/labs/mcp/servers/unity_catalog}/tools/genie.py (99%) rename {servers/unity_catalog/src/unitycatalog_mcp => src/databricks/labs/mcp/servers/unity_catalog}/tools/vector_search.py (96%) rename {servers/unity_catalog/tests => tests}/conftest.py (64%) rename {servers/unity_catalog/tests => tests}/test_cli.py (97%) rename {servers/unity_catalog/tests => tests}/test_functions.py (95%) rename {servers/unity_catalog/tests => tests}/test_genie.py (93%) rename {servers/unity_catalog/tests => tests}/test_vector_search.py (96%) rename servers/unity_catalog/uv.lock => uv.lock (60%) diff --git a/.gitignore b/.gitignore index 5d98269..cbf4f36 100644 --- a/.gitignore +++ b/.gitignore @@ -120,3 +120,6 @@ a.md # Ignore a gunicorn config file gunicorn.conf.py + +# ignore version file +src/databricks/labs/mcp/_version.py \ No newline at end of file diff --git a/servers/unity_catalog/docs/images/demo.png b/docs/images/demo.png similarity index 100% rename from servers/unity_catalog/docs/images/demo.png rename to docs/images/demo.png diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..115654e --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,69 @@ +[project] + +name = "databricks-labs-mcp" +dynamic = ["version", "readme"] +description = "Databricks MCP servers" +authors = [{ name = "renardeinside", email = "polarpersonal@gmail.com" }] +requires-python = ">=3.10" +keywords = ["databricks", "unity catalog", "mcp", "agents", "llm", "automation", "genie"] + +dependencies = [ + "mcp>=1.2.1", + "pydantic>=2.10.6", + "pydantic-settings>=2.7.1", + "unitycatalog-ai>=0.1.0", + "databricks-sdk>=0.49.0", + "databricks-openai>=0.3.1", +] +license-files = ["LICENSE", "NOTICE"] + +[tool.uv] +dev-dependencies = [ + "black>=25.1.0", + "pyright>=1.1.393", + "ruff>=0.9.4", + "pytest>=8.3.4", +] + +[project.scripts] +unitycatalog-mcp = "databricks.labs.mcp.servers.unity_catalog:main" + +[build-system] +requires = ["hatchling", "hatch-fancy-pypi-readme", "hatch-vcs"] +build-backend = "hatchling.build" + +# for compatability with databricks.labs.* layout +[tool.hatch.build] +sources = ["src"] +include = ["src"] + + +[tool.hatch.version] +source = "vcs" + +[tool.hatch.build.hooks.vcs] +version-file = "src/databricks/labs/mcp/_version.py" + + +[tool.hatch.metadata.hooks.fancy-pypi-readme] +content-type = "text/markdown" + +[[tool.hatch.metadata.hooks.fancy-pypi-readme.fragments]] +path = "README.md" + +[[tool.hatch.metadata.hooks.fancy-pypi-readme.substitutions]] +# replace relative links with absolute links +pattern = '\[(.+?)\]\(((?!https?://)\S+?)\)' +replacement = '[\1](https://github.com/databrickslabs/mcp/tree/main/\g<2>)' + +[[tool.hatch.metadata.hooks.fancy-pypi-readme.substitutions]] +# replace relative image links with absolute links +pattern = '' +replacement = '>' + + +[tool.pytest.ini_options] +testpaths = ["tests"] +python_files = "test_*.py" +python_classes = "Test*" +python_functions = "test_*" \ No newline at end of file diff --git a/servers/unity_catalog/LICENSE b/servers/unity_catalog/LICENSE deleted file mode 100644 index f33f180..0000000 --- a/servers/unity_catalog/LICENSE +++ /dev/null @@ -1,23 +0,0 @@ -# DB license -Definitions. - -Agreement: The agreement between Databricks, Inc., and you governing the use of the Databricks Services, as that term is defined in the Master Cloud Services Agreement (MCSA) located at www.databricks.com/legal/mcsa. - -Licensed Materials: The source code, object code, data, and/or other works to which this license applies. - -Scope of Use. You may not use the Licensed Materials except in connection with your use of the Databricks Services pursuant to the Agreement. Your use of the Licensed Materials must comply at all times with any restrictions applicable to the Databricks Services, generally, and must be used in accordance with any applicable documentation. You may view, use, copy, modify, publish, and/or distribute the Licensed Materials solely for the purposes of using the Licensed Materials within or connecting to the Databricks Services. If you do not agree to these terms, you may not view, use, copy, modify, publish, and/or distribute the Licensed Materials. - -Redistribution. You may redistribute and sublicense the Licensed Materials so long as all use is in compliance with these terms. In addition: - -You must give any other recipients a copy of this License; -You must cause any modified files to carry prominent notices stating that you changed the files; -You must retain, in any derivative works that you distribute, all copyright, patent, trademark, and attribution notices, excluding those notices that do not pertain to any part of the derivative works; and -If a "NOTICE" text file is provided as part of its distribution, then any derivative works that you distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the derivative works. -You may add your own copyright statement to your modifications and may provide additional license terms and conditions for use, reproduction, or distribution of your modifications, or for any such derivative works as a whole, provided your use, reproduction, and distribution of the Licensed Materials otherwise complies with the conditions stated in this License. - -Termination. This license terminates automatically upon your breach of these terms or upon the termination of your Agreement. Additionally, Databricks may terminate this license at any time on notice. Upon termination, you must permanently delete the Licensed Materials and all copies thereof. - - -DISCLAIMER; LIMITATION OF LIABILITY. - -THE LICENSED MATERIALS ARE PROVIDED “AS-IS” AND WITH ALL FAULTS. DATABRICKS, ON BEHALF OF ITSELF AND ITS LICENSORS, SPECIFICALLY DISCLAIMS ALL WARRANTIES RELATING TO THE LICENSED MATERIALS, EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, IMPLIED WARRANTIES, CONDITIONS AND OTHER TERMS OF MERCHANTABILITY, SATISFACTORY QUALITY OR FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. DATABRICKS AND ITS LICENSORS TOTAL AGGREGATE LIABILITY RELATING TO OR ARISING OUT OF YOUR USE OF OR DATABRICKS’ PROVISIONING OF THE LICENSED MATERIALS SHALL BE LIMITED TO ONE THOUSAND ($1,000) DOLLARS. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE LICENSED MATERIALS OR THE USE OR OTHER DEALINGS IN THE LICENSED MATERIALS. diff --git a/servers/unity_catalog/pyproject.toml b/servers/unity_catalog/pyproject.toml deleted file mode 100644 index d4ac565..0000000 --- a/servers/unity_catalog/pyproject.toml +++ /dev/null @@ -1,42 +0,0 @@ -[project] -name = "unitycatalog-mcp" -version = "0.1.0" -description = "An MCP (Model Context Protocol) server for retrieving data and executing functions in Unity Catalog." -readme = "README.md" -requires-python = ">=3.10" -keywords = ["databricks", "unity catalog", "mcp", "agents", "llm", "automation", "genie"] -license = { text = "Databricks License" } -classifiers = [ - "Development Status :: 4 - Beta", - "Intended Audience :: Developers", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", -] -dependencies = [ - "mcp>=1.2.1", - "pydantic>=2.10.6", - "pydantic-settings>=2.7.1", - "unitycatalog-ai>=0.1.0", - "databricks-sdk>=0.49.0", - "databricks-openai>=0.3.1", -] - -[project.scripts] -unitycatalog-mcp = "unitycatalog_mcp:main" - -[build-system] -requires = ["hatchling"] -build-backend = "hatchling.build" - -[tool.uv] -dev-dependencies = [ - "pyright>=1.1.393", - "ruff>=0.9.4", - "pytest>=8.3.4", -] - -[tool.pytest.ini_options] -testpaths = ["tests"] -python_files = "test_*.py" -python_classes = "Test*" -python_functions = "test_*" diff --git a/servers/unity_catalog/src/unitycatalog_mcp/__main__.py b/servers/unity_catalog/src/unitycatalog_mcp/__main__.py deleted file mode 100644 index edab862..0000000 --- a/servers/unity_catalog/src/unitycatalog_mcp/__main__.py +++ /dev/null @@ -1,5 +0,0 @@ -from unitycatalog_mcp import main - - -if __name__ == "__main__": - main() diff --git a/servers/unity_catalog/src/unitycatalog_mcp/version.py b/servers/unity_catalog/src/unitycatalog_mcp/version.py deleted file mode 100644 index 0ed25e6..0000000 --- a/servers/unity_catalog/src/unitycatalog_mcp/version.py +++ /dev/null @@ -1,3 +0,0 @@ -import importlib.metadata - -VERSION = importlib.metadata.version("unitycatalog-mcp") diff --git a/src/databricks/__init__.py b/src/databricks/__init__.py new file mode 100644 index 0000000..f15cd23 --- /dev/null +++ b/src/databricks/__init__.py @@ -0,0 +1,3 @@ +# DO NOT ADD ANYTHING ELSE TO THIS FILE FOR COMPATIBILITY WITH OTHER databricks.labs.* PACKAGES +# SEE https://packaging.python.org/guides/packaging-namespace-packages/#pkgutil-style-namespace-packages +__path__ = __import__("pkgutil").extend_path(__path__, __name__) \ No newline at end of file diff --git a/src/databricks/labs/__init__.py b/src/databricks/labs/__init__.py new file mode 100644 index 0000000..f15cd23 --- /dev/null +++ b/src/databricks/labs/__init__.py @@ -0,0 +1,3 @@ +# DO NOT ADD ANYTHING ELSE TO THIS FILE FOR COMPATIBILITY WITH OTHER databricks.labs.* PACKAGES +# SEE https://packaging.python.org/guides/packaging-namespace-packages/#pkgutil-style-namespace-packages +__path__ = __import__("pkgutil").extend_path(__path__, __name__) \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/__init__.py b/src/databricks/labs/mcp/servers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/servers/developer_tools/README.md b/src/databricks/labs/mcp/servers/developer_tools/README.md similarity index 100% rename from servers/developer_tools/README.md rename to src/databricks/labs/mcp/servers/developer_tools/README.md diff --git a/servers/unity_catalog/README.md b/src/databricks/labs/mcp/servers/unity_catalog/README.md similarity index 100% rename from servers/unity_catalog/README.md rename to src/databricks/labs/mcp/servers/unity_catalog/README.md diff --git a/servers/unity_catalog/src/unitycatalog_mcp/__init__.py b/src/databricks/labs/mcp/servers/unity_catalog/__init__.py similarity index 73% rename from servers/unity_catalog/src/unitycatalog_mcp/__init__.py rename to src/databricks/labs/mcp/servers/unity_catalog/__init__.py index 1b0a65b..e2f3f7e 100644 --- a/servers/unity_catalog/src/unitycatalog_mcp/__init__.py +++ b/src/databricks/labs/mcp/servers/unity_catalog/__init__.py @@ -1,7 +1,7 @@ import sys from traceback import format_exc -from unitycatalog_mcp.server import start -from unitycatalog_mcp.version import VERSION +from databricks.labs.mcp.servers.unity_catalog.server import start +from databricks.labs.mcp._version import __version__ as VERSION from databricks.sdk.config import with_user_agent_extra diff --git a/src/databricks/labs/mcp/servers/unity_catalog/__main__.py b/src/databricks/labs/mcp/servers/unity_catalog/__main__.py new file mode 100644 index 0000000..21e0fe7 --- /dev/null +++ b/src/databricks/labs/mcp/servers/unity_catalog/__main__.py @@ -0,0 +1,5 @@ +from databricks.labs.mcp.servers.unity_catalog import main + + +if __name__ == "__main__": + main() diff --git a/servers/unity_catalog/src/unitycatalog_mcp/cli.py b/src/databricks/labs/mcp/servers/unity_catalog/cli.py similarity index 100% rename from servers/unity_catalog/src/unitycatalog_mcp/cli.py rename to src/databricks/labs/mcp/servers/unity_catalog/cli.py diff --git a/servers/unity_catalog/src/unitycatalog_mcp/server.py b/src/databricks/labs/mcp/servers/unity_catalog/server.py similarity index 88% rename from servers/unity_catalog/src/unitycatalog_mcp/server.py rename to src/databricks/labs/mcp/servers/unity_catalog/server.py index 100b7e4..6a96b3a 100644 --- a/servers/unity_catalog/src/unitycatalog_mcp/server.py +++ b/src/databricks/labs/mcp/servers/unity_catalog/server.py @@ -4,15 +4,15 @@ from mcp.server import NotificationOptions, Server from mcp.server.stdio import stdio_server from mcp.types import Tool as ToolSpec -from unitycatalog_mcp.tools import ( +from databricks.labs.mcp.servers.unity_catalog.tools import ( list_all_tools, Content, ) -from unitycatalog_mcp.cli import get_settings +from databricks.labs.mcp.servers.unity_catalog.cli import get_settings -from unitycatalog_mcp.tools.base_tool import BaseTool -from unitycatalog_mcp.version import VERSION +from databricks.labs.mcp.servers.unity_catalog.tools.base_tool import BaseTool +from databricks.labs.mcp._version import __version__ as VERSION # The logger instance for this module. LOGGER = logging.getLogger(__name__) diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/__init__.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/__init__.py similarity index 57% rename from servers/unity_catalog/src/unitycatalog_mcp/tools/__init__.py rename to src/databricks/labs/mcp/servers/unity_catalog/tools/__init__.py index 567b08f..cf34c5b 100644 --- a/servers/unity_catalog/src/unitycatalog_mcp/tools/__init__.py +++ b/src/databricks/labs/mcp/servers/unity_catalog/tools/__init__.py @@ -5,9 +5,9 @@ EmbeddedResource, ) -from unitycatalog_mcp.tools.genie import list_genie_tools -from unitycatalog_mcp.tools.functions import list_uc_function_tools -from unitycatalog_mcp.tools.vector_search import list_vector_search_tools +from databricks.labs.mcp.servers.unity_catalog.tools.genie import list_genie_tools +from databricks.labs.mcp.servers.unity_catalog.tools.functions import list_uc_function_tools +from databricks.labs.mcp.servers.unity_catalog.tools.vector_search import list_vector_search_tools Content: TypeAlias = Union[TextContent, ImageContent, EmbeddedResource] diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/base_tool.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/base_tool.py similarity index 100% rename from servers/unity_catalog/src/unitycatalog_mcp/tools/base_tool.py rename to src/databricks/labs/mcp/servers/unity_catalog/tools/base_tool.py diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/functions.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/functions.py similarity index 95% rename from servers/unity_catalog/src/unitycatalog_mcp/tools/functions.py rename to src/databricks/labs/mcp/servers/unity_catalog/tools/functions.py index 8e7a46a..4ce14f7 100644 --- a/servers/unity_catalog/src/unitycatalog_mcp/tools/functions.py +++ b/src/databricks/labs/mcp/servers/unity_catalog/tools/functions.py @@ -1,7 +1,7 @@ import logging from mcp.types import Tool as ToolSpec, TextContent -from unitycatalog_mcp.tools.base_tool import BaseTool +from databricks.labs.mcp.servers.unity_catalog.tools.base_tool import BaseTool from unitycatalog.ai.core.databricks import DatabricksFunctionClient from databricks_openai import UCFunctionToolkit diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/genie.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/genie.py similarity index 99% rename from servers/unity_catalog/src/unitycatalog_mcp/tools/genie.py rename to src/databricks/labs/mcp/servers/unity_catalog/tools/genie.py index 9e7ffe1..0a46d8f 100644 --- a/servers/unity_catalog/src/unitycatalog_mcp/tools/genie.py +++ b/src/databricks/labs/mcp/servers/unity_catalog/tools/genie.py @@ -9,7 +9,7 @@ from databricks.sdk import WorkspaceClient from mcp.types import TextContent, Tool as ToolSpec -from unitycatalog_mcp.tools.base_tool import BaseTool +from databricks.labs.mcp.servers.unity_catalog.tools.base_tool import BaseTool # Logger LOGGER = logging.getLogger(__name__) diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/vector_search.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/vector_search.py similarity index 96% rename from servers/unity_catalog/src/unitycatalog_mcp/tools/vector_search.py rename to src/databricks/labs/mcp/servers/unity_catalog/tools/vector_search.py index cbcbf72..3431091 100644 --- a/servers/unity_catalog/src/unitycatalog_mcp/tools/vector_search.py +++ b/src/databricks/labs/mcp/servers/unity_catalog/tools/vector_search.py @@ -7,7 +7,7 @@ from mcp.types import Tool as ToolSpec, TextContent -from unitycatalog_mcp.tools.base_tool import BaseTool +from databricks.labs.mcp.servers.unity_catalog.tools.base_tool import BaseTool class VectorSearchTool(BaseTool): diff --git a/servers/unity_catalog/tests/conftest.py b/tests/conftest.py similarity index 64% rename from servers/unity_catalog/tests/conftest.py rename to tests/conftest.py index 869fda7..0da85ea 100644 --- a/servers/unity_catalog/tests/conftest.py +++ b/tests/conftest.py @@ -1,5 +1,5 @@ import pytest -from unitycatalog_mcp.cli import get_settings, CliSettings +from databricks.labs.mcp.servers.unity_catalog.cli import get_settings, CliSettings @pytest.fixture(autouse=True) diff --git a/servers/unity_catalog/tests/test_cli.py b/tests/test_cli.py similarity index 97% rename from servers/unity_catalog/tests/test_cli.py rename to tests/test_cli.py index d131585..2c00795 100644 --- a/servers/unity_catalog/tests/test_cli.py +++ b/tests/test_cli.py @@ -2,7 +2,7 @@ import pytest from pydantic import ValidationError from unittest.mock import patch -from unitycatalog_mcp.cli import get_settings +from databricks.labs.mcp.servers.unity_catalog.cli import get_settings @pytest.mark.parametrize( diff --git a/servers/unity_catalog/tests/test_functions.py b/tests/test_functions.py similarity index 95% rename from servers/unity_catalog/tests/test_functions.py rename to tests/test_functions.py index ca8d0d1..21fc74c 100644 --- a/servers/unity_catalog/tests/test_functions.py +++ b/tests/test_functions.py @@ -1,7 +1,10 @@ from unittest import mock import pytest -from unitycatalog_mcp.tools.functions import list_uc_function_tools, UCFunctionTool +from databricks.labs.mcp.servers.unity_catalog.tools.functions import ( + list_uc_function_tools, + UCFunctionTool, +) SCHEMA_FULL_NAME = "catalog.schema" diff --git a/servers/unity_catalog/tests/test_genie.py b/tests/test_genie.py similarity index 93% rename from servers/unity_catalog/tests/test_genie.py rename to tests/test_genie.py index 71d784d..7f52e96 100644 --- a/servers/unity_catalog/tests/test_genie.py +++ b/tests/test_genie.py @@ -1,5 +1,9 @@ from pydantic import BaseModel -from unitycatalog_mcp.tools.genie import list_genie_tools, GenieTool, dump_json +from databricks.labs.mcp.servers.unity_catalog.tools.genie import ( + list_genie_tools, + GenieTool, + dump_json, +) from unittest import mock diff --git a/servers/unity_catalog/tests/test_vector_search.py b/tests/test_vector_search.py similarity index 96% rename from servers/unity_catalog/tests/test_vector_search.py rename to tests/test_vector_search.py index 4cc85e0..2c6d2e3 100644 --- a/servers/unity_catalog/tests/test_vector_search.py +++ b/tests/test_vector_search.py @@ -1,5 +1,5 @@ from unittest import mock -from unitycatalog_mcp.tools.vector_search import ( +from databricks.labs.mcp.servers.unity_catalog.tools.vector_search import ( _list_vector_search_tools, list_vector_search_tools, VectorSearchTool, diff --git a/servers/unity_catalog/uv.lock b/uv.lock similarity index 60% rename from servers/unity_catalog/uv.lock rename to uv.lock index 15dac59..3091e0b 100644 --- a/servers/unity_catalog/uv.lock +++ b/uv.lock @@ -1,5 +1,4 @@ version = 1 -revision = 1 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.12' and sys_platform != 'win32'", @@ -12,16 +11,16 @@ resolution-markers = [ [[package]] name = "aiohappyeyeballs" -version = "2.4.4" +version = "2.6.1" 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DummySettings: @mock.patch( - "unitycatalog_mcp.tools.functions.DatabricksFunctionClient", new=DummyClient + "databricks.labs.mcp.servers.unity_catalog.tools.functions.DatabricksFunctionClient", new=DummyClient ) -@mock.patch("unitycatalog_mcp.tools.functions.UCFunctionToolkit", new=DummyToolkit) +@mock.patch("databricks.labs.mcp.servers.unity_catalog.tools.functions.UCFunctionToolkit", new=DummyToolkit) def test_list_uc_function_tools(): settings = DummySettings() tools = list_uc_function_tools(settings) diff --git a/tests/test_genie.py b/tests/test_genie.py index 7f52e96..b482c7b 100644 --- a/tests/test_genie.py +++ b/tests/test_genie.py @@ -63,7 +63,7 @@ class DummyWorkspaceClient: pass -@mock.patch("unitycatalog_mcp.tools.genie.WorkspaceClient", new=DummyWorkspaceClient) +@mock.patch("databricks.labs.mcp.servers.unity_catalog.tools.genie.WorkspaceClient", new=DummyWorkspaceClient) def test_genie_tool_execute(): mock_func = mock.Mock() mock_func.return_value = [mock.Mock(text="hello world")] diff --git a/tests/test_vector_search.py b/tests/test_vector_search.py index 2c6d2e3..5aef152 100644 --- a/tests/test_vector_search.py +++ b/tests/test_vector_search.py @@ -32,9 +32,9 @@ class DummySettings: @mock.patch( - "unitycatalog_mcp.tools.vector_search.WorkspaceClient", new=DummyWorkspaceClient + "databricks.labs.mcp.servers.unity_catalog.tools.vector_search.WorkspaceClient", new=DummyWorkspaceClient ) -@mock.patch("unitycatalog_mcp.tools.vector_search.VectorSearchRetrieverTool") +@mock.patch("databricks.labs.mcp.servers.unity_catalog.tools.vector_search.VectorSearchRetrieverTool") def test_list_vector_search_tools_filters_and_returns_expected( MockVectorSearchRetrieverTool, ): @@ -52,7 +52,7 @@ def test_list_vector_search_tools_filters_and_returns_expected( def test_internal_list_vector_search_tools_direct(): with mock.patch( - "unitycatalog_mcp.tools.vector_search.VectorSearchRetrieverTool" + "databricks.labs.mcp.servers.unity_catalog.tools.vector_search.VectorSearchRetrieverTool" ) as MockVectorSearchRetrieverTool: MockVectorSearchRetrieverTool.side_effect = lambda index_name: mock.Mock( tool={ From ed61ea77790c13c647b66244fea7f3793681dab6 Mon Sep 17 00:00:00 2001 From: renardeinside Date: Tue, 29 Apr 2025 17:00:35 +0200 Subject: [PATCH 08/21] add fmt & verify --- Makefile | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 Makefile diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..e9de717 --- /dev/null +++ b/Makefile @@ -0,0 +1,9 @@ +fmt: + uv run isort . + uv run black . + uv run ruff check . --fix + +verify: + uv run isort . --check + uv run black . --check + uv run ruff check . \ No newline at end of file From 76b92e589cd6099d8fa3f853f279fbefc942a4d5 Mon Sep 17 00:00:00 2001 From: renardeinside Date: Tue, 29 Apr 2025 17:05:24 +0200 Subject: [PATCH 09/21] fix linting --- .github/workflows/unit_tests.yml | 49 ++++++------------- .gitignore | 4 +- Makefile | 4 +- dev/lint.sh | 33 ------------- pyproject.toml | 3 +- src/databricks/__init__.py | 2 +- src/databricks/labs/__init__.py | 2 +- .../servers/unity_catalog/tools/__init__.py | 8 ++- tests/test_functions.py | 8 ++- tests/test_genie.py | 5 +- tests/test_vector_search.py | 7 ++- uv.lock | 11 +++++ 12 files changed, 54 insertions(+), 82 deletions(-) delete mode 100755 dev/lint.sh diff --git a/.github/workflows/unit_tests.yml b/.github/workflows/unit_tests.yml index 423464b..3776720 100644 --- a/.github/workflows/unit_tests.yml +++ b/.github/workflows/unit_tests.yml @@ -1,44 +1,25 @@ name: Unit Tests on: - push: - paths: - - "servers/**" - - ".github/workflows/unit_tests.yml" pull_request: - paths: - - "servers/**" - - ".github/workflows/unit_tests.yml" + types: [opened, synchronize] + merge_group: + types: [checks_requested] + push: + # Always run on push to main. The build cache can only be reused + # if it was saved by a run from the repository's default branch. + # The run result will be identical to that from the merge queue + # because the commit is identical, yet we need to perform it to + # seed the build cache. + branches: + - master jobs: - discover: - runs-on: - group: databrickslabs-protected-runner-group - labels: linux-ubuntu-latest - outputs: - server_dirs: ${{ steps.set-matrix.outputs.server_dirs }} - - steps: - - name: Checkout code - uses: actions/checkout@v4 - - - name: Discover server dirs with tests - id: set-matrix - run: | - dirs=$(find servers -mindepth 1 -maxdepth 1 -type d -exec test -d "{}/tests" \; -print | sed 's|servers/||' | jq -R . | jq -cs .) - echo "Found directories: $dirs" - echo "server_dirs=$dirs" >> "$GITHUB_OUTPUT" - - test: - needs: discover runs-on: group: databrickslabs-protected-runner-group labels: linux-ubuntu-latest - strategy: - matrix: - server-dir: ${{ fromJson(needs.discover.outputs.server_dirs) }} steps: - name: Checkout code @@ -53,14 +34,12 @@ jobs: uses: astral-sh/setup-uv@v5 - name: Install dependencies with uv - working-directory: servers/${{ matrix.server-dir }} run: | - uv sync - uv pip install --group dev + uv sync - name: Run tests - working-directory: servers/${{ matrix.server-dir }} run: uv run pytest tests + lint: runs-on: group: databrickslabs-protected-runner-group @@ -80,4 +59,4 @@ jobs: echo "$HOME/.cargo/bin" >> $GITHUB_PATH - name: Run lint checks - run: ./dev/lint.sh + run: make lint diff --git a/.gitignore b/.gitignore index cbf4f36..bb77da7 100644 --- a/.gitignore +++ b/.gitignore @@ -122,4 +122,6 @@ a.md gunicorn.conf.py # ignore version file -src/databricks/labs/mcp/_version.py \ No newline at end of file +src/databricks/labs/mcp/_version.py + +.ruff_cache/ \ No newline at end of file diff --git a/Makefile b/Makefile index e9de717..0e891b4 100644 --- a/Makefile +++ b/Makefile @@ -1,9 +1,7 @@ fmt: - uv run isort . uv run black . uv run ruff check . --fix -verify: - uv run isort . --check +lint: uv run black . --check uv run ruff check . \ No newline at end of file diff --git a/dev/lint.sh b/dev/lint.sh deleted file mode 100755 index c304a00..0000000 --- a/dev/lint.sh +++ /dev/null @@ -1,33 +0,0 @@ -#!/usr/bin/env bash -set -euo pipefail - -# Usage: ./lint.sh [--fix] - -ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" -FIX=false - -if [[ "${1:-}" == "--fix" ]]; then - FIX=true -fi - -echo "Linting Python files in servers/... with black and ruff" -uv pip install --system black ruff - -if $FIX; then - echo "🛠 Fixing formatting with black and ruff" - black servers/ - ruff check servers/ --fix -else - echo "🔍 Checking formatting (without fixing)" - if ! black servers/ --check; then - echo -e "\n❌ Black found formatting issues. To fix them, run:" - echo " ./dev/lint.sh --fix" - exit 1 - fi - - if ! ruff check servers/; then - echo -e "\n❌ Ruff found issues. To fix them, run:" - echo " ./dev/lint.sh --fix" - exit 1 - fi -fi diff --git a/pyproject.toml b/pyproject.toml index 115654e..4ca266e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,6 +23,7 @@ dev-dependencies = [ "pyright>=1.1.393", "ruff>=0.9.4", "pytest>=8.3.4", + "isort>=6.0.1", ] [project.scripts] @@ -66,4 +67,4 @@ replacement = ' Date: Tue, 29 Apr 2025 17:07:43 +0200 Subject: [PATCH 10/21] add pip caches --- .github/workflows/unit_tests.yml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.github/workflows/unit_tests.yml b/.github/workflows/unit_tests.yml index 3776720..947d75c 100644 --- a/.github/workflows/unit_tests.yml +++ b/.github/workflows/unit_tests.yml @@ -28,6 +28,8 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: + cache: 'pip' + cache-dependency-path: '**/pyproject.toml' python-version: "3.12" - name: Install uv @@ -51,6 +53,8 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: + cache: 'pip' + cache-dependency-path: '**/pyproject.toml' python-version: "3.12" - name: Install uv From 507e23a2c829229d1b32f3c8ba1fc999056b28f1 Mon Sep 17 00:00:00 2001 From: renardeinside Date: Tue, 29 Apr 2025 17:11:10 +0200 Subject: [PATCH 11/21] fix CI pipeline --- .github/workflows/unit_tests.yml | 30 ++++++++++++------------------ 1 file changed, 12 insertions(+), 18 deletions(-) diff --git a/.github/workflows/unit_tests.yml b/.github/workflows/unit_tests.yml index 947d75c..2e93cfb 100644 --- a/.github/workflows/unit_tests.yml +++ b/.github/workflows/unit_tests.yml @@ -25,19 +25,15 @@ jobs: - name: Checkout code uses: actions/checkout@v4 - - name: Set up Python - uses: actions/setup-python@v5 + - name: Install uv and set the python version + uses: astral-sh/setup-uv@v5 with: - cache: 'pip' - cache-dependency-path: '**/pyproject.toml' python-version: "3.12" + enable-cache: true + cache-dependency-glob: "uv.lock" - - name: Install uv - uses: astral-sh/setup-uv@v5 - - - name: Install dependencies with uv - run: | - uv sync + - name: Install the project + run: uv sync --locked --all-extras --dev - name: Run tests run: uv run pytest tests @@ -50,17 +46,15 @@ jobs: - name: Checkout code uses: actions/checkout@v4 - - name: Set up Python - uses: actions/setup-python@v5 + - name: Install uv and set the python version + uses: astral-sh/setup-uv@v5 with: - cache: 'pip' - cache-dependency-path: '**/pyproject.toml' python-version: "3.12" + enable-cache: true + cache-dependency-glob: "uv.lock" - - name: Install uv - run: | - curl -LsSf https://astral.sh/uv/install.sh | sh - echo "$HOME/.cargo/bin" >> $GITHUB_PATH + - name: Install the project + run: uv sync --locked --all-extras --dev - name: Run lint checks run: make lint From 848ecd027d3a70915ecc817eda34779249af7e8f Mon Sep 17 00:00:00 2001 From: renardeinside Date: Tue, 29 Apr 2025 17:14:14 +0200 Subject: [PATCH 12/21] fix docs --- CONTRIBUTING.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index f2ba038..9832ffe 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -10,11 +10,10 @@ before sending a pull request. For smaller changes (e.g. fixing a bug, adding a ### Running tests -First, install test requirements from within the directory of the server you're working on: +First, install all requirements from within the directory of the server you're working on: ```bash uv sync -uv pip install --group dev ``` To run tests: @@ -25,7 +24,8 @@ uv run pytest tests To run and fix lint errors, run the following from the repo root directory: ```bash -./dev/lint.sh --fix +make fmt # to format code +make lint # to run linters ``` ### Guidelines for MCP servers From e6177f73d6e5269305a1359c88b9f5b710dbe1b0 Mon Sep 17 00:00:00 2001 From: renardeinside Date: Wed, 30 Apr 2025 11:46:25 +0200 Subject: [PATCH 13/21] fix readme --- README.md | 46 ++++++++++++++++++++++++++++++++++++++++------ 1 file changed, 40 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index d4795f8..cc0b5d3 100644 --- a/README.md +++ b/README.md @@ -2,25 +2,45 @@ ![Test Status](https://github.com/databrickslabs/mcp/actions/workflows/unit_tests.yml/badge.svg) +Table of Contents +================= + +- [Databricks MCP servers](#databricks-mcp-servers) +- [Table of Contents](#table-of-contents) + - [Overview](#overview) + - [Unity Catalog Server](#unity-catalog-server) + - [Overview](#overview-1) + - [Usage](#usage) + - [Supported tools](#supported-tools) + - [Developer Tools Server](#developer-tools-server) + - [Support](#support) + - [Contributing](#contributing) + ## Overview An experimental collection of [MCP](https://modelcontextprotocol.io/introduction) servers to help AI agents fetch enterprise data from Databricks, automate common developer actions on Databricks, etc: * ![status: Beta](https://img.shields.io/badge/status-Beta-yellow?style=flat-square&logo=databricks) [Databricks Unity Catalog server](./servers/unity_catalog/README.md): Fetch data and run tools registered in from Unity Catalog, making agents aware of your enterprise data * ![status: Under construction](https://img.shields.io/badge/status-Under_construction-red?style=flat-square&logo=databricks) - [Databricks developer tools server](./servers/developer_tools/README.md): Perform common developer actions in Databricks, like creating and updating notebooks, running jobs, etc. This server is not yet usable, but contributions are welcome! + [Databricks developer tools server](): Perform common developer actions in Databricks, like creating and updating notebooks, running jobs, etc. This server is not yet usable, but contributions are welcome! The set of servers and tools in this repo is fluid and will evolve over time. We welcome contributions to this repo - please first read the [contributor guidelines](CONTRIBUTING.md) to streamline the process and discover areas where help is needed. -## Usage -See the `README.md` in each server's directory for detailed instructions. -For most servers, the following steps work: +## Unity Catalog Server + +![status: Beta](https://img.shields.io/badge/status-Beta-yellow?style=flat-square&logo=databricks) + +### Overview +A Model Context Protocol server that exposes structured and unstructured data in Unity Catalog ([vector search indexes](https://docs.databricks.com/gcp/en/generative-ai/vector-search), [functions](https://docs.databricks.com/aws/en/generative-ai/agent-framework/create-custom-tool), and [Genie spaces](https://docs.databricks.com/aws/en/genie/)), as tools. + +Demo image +### Usage 1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/) 1. Install Python using `uv python install 3.12` 1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs -1. Add the server to your MCP client configuration. For example, to use the Databricks Unity Catalog MCP server with Claude Desktop, add the following to your `claude_desktop_config.json`: +1. Add the server to your MCP client configuration. For example, to use this server with Claude Desktop, add the following to your `claude_desktop_config.json`: ```json { @@ -29,7 +49,7 @@ For most servers, the following steps work: "command": "/path/to/uv/executable/uv", "args": [ "--directory", - "/path/to/this/repo/servers/unity_catalog", + "/path/to/this/repo", "run", "unitycatalog-mcp", "-s", @@ -42,6 +62,20 @@ For most servers, the following steps work: } ``` +### Supported tools + +The list of tools supported by this server is dynamically inferred at startup time based on the functions and vector search indexes +within the specified Unity Catalog schema, as well as any specified Genie spaces. In particular, the server exposes +the following tools: + +* **UC Functions**: for each UC function, the server exposes a tool with the same name, arguments, and return type as the function +* **Vector search indexes**: for each vector search index, the server exposes a tool for querying that vector search index +* **Genie spaces**: for each Genie space, the server exposes tools for managing conversations and sending questions to the space + +## Developer Tools Server + +This server is currently under construction. It is not yet usable, but contributions are welcome! + ## Support Please note that all projects in the `databrickslabs` GitHub organization are provided for your exploration only, and are not formally supported by Databricks with Service Level Agreements (SLAs). They are provided AS-IS and we do not make any guarantees of any kind. Please do not submit a support ticket relating to any issues arising from the use of these projects. From 13f8ebbf2efde809640ffbba4d1c56ab2e093691 Mon Sep 17 00:00:00 2001 From: renardeinside Date: Wed, 30 Apr 2025 11:47:15 +0200 Subject: [PATCH 14/21] remove old readme --- .../labs/mcp/servers/unity_catalog/README.md | 44 ------------------- 1 file changed, 44 deletions(-) delete mode 100644 src/databricks/labs/mcp/servers/unity_catalog/README.md diff --git a/src/databricks/labs/mcp/servers/unity_catalog/README.md b/src/databricks/labs/mcp/servers/unity_catalog/README.md deleted file mode 100644 index 28aa33c..0000000 --- a/src/databricks/labs/mcp/servers/unity_catalog/README.md +++ /dev/null @@ -1,44 +0,0 @@ -# Databricks Unity Catalog MCP server -![status: Beta](https://img.shields.io/badge/status-Beta-yellow?style=flat-square&logo=databricks) - -## Overview -A Model Context Protocol server that exposes structured and unstructured data in Unity Catalog ([vector search indexes](https://docs.databricks.com/gcp/en/generative-ai/vector-search), [functions](https://docs.databricks.com/aws/en/generative-ai/agent-framework/create-custom-tool), and -[Genie spaces](https://docs.databricks.com/aws/en/genie/)), as tools. - -Demo image - -## Usage -1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/) -1. Install Python using `uv python install 3.12` -1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs -1. Add the server to your MCP client configuration. For example, to use this server with Claude Desktop, add the following to your `claude_desktop_config.json`: - -```json -{ - "mcpServers": { - "databricks_unity_catalog": { - "command": "/path/to/uv/executable/uv", - "args": [ - "--directory", - "/path/to/this/repo/servers/unity_catalog", - "run", - "unitycatalog-mcp", - "-s", - "your_catalog.your_schema", - "-g", - "genie_space_id_1,genie_space_id_2" - ] - } - } -} -``` - -## Supported tools - -The list of tools supported by this server is dynamically inferred at startup time based on the functions and vector search indexes -within the specified Unity Catalog schema, as well as any specified Genie spaces. In particular, the server exposes -the following tools: - -* **UC Functions**: for each UC function, the server exposes a tool with the same name, arguments, and return type as the function -* **Vector search indexes**: for each vector search index, the server exposes a tool for querying that vector search index -* **Genie spaces**: for each Genie space, the server exposes tools for managing conversations and sending questions to the space From c0ddcf362a06d24d2a9a0afcd0f19afc2559fb4f Mon Sep 17 00:00:00 2001 From: Shingo OKAWA Date: Sat, 3 May 2025 01:30:36 +0900 Subject: [PATCH 15/21] Add auto-assign-on-comment.yml (#20) Signed-off-by: Shingo OKAWA --- .github/workflows/auto-assign-on-comment.yml | 52 ++++++++++++++++++++ 1 file changed, 52 insertions(+) create mode 100644 .github/workflows/auto-assign-on-comment.yml diff --git a/.github/workflows/auto-assign-on-comment.yml b/.github/workflows/auto-assign-on-comment.yml new file mode 100644 index 0000000..96dc6a0 --- /dev/null +++ b/.github/workflows/auto-assign-on-comment.yml @@ -0,0 +1,52 @@ +name: Auto Assign on 'take' Comment +on: + issue_comment: + types: [created] +permissions: + issues: write +jobs: + assign: + runs-on: + group: databrickslabs-protected-runner-group + labels: linux-ubuntu-latest + if: (!github.event.issue.pull_request) && contains(github.event.comment.body, 'take') + concurrency: + group: ${{ github.actor }}-auto-assign-issue + cancel-in-progress: true + steps: + - name: Auto assign if comment includes 'take' + uses: actions/github-script@v7 + with: + script: | + const body = context.payload.comment.body.toLowerCase(); + const author = context.payload.comment.user.login; + const issue = context.payload.issue; + + // Check if comment includes 'take' + if (!body.includes('take')) { + console.log("Comment does not include 'take'; skipping."); + return; + } + + // Check if already assigned + const alreadyAssigned = issue.assignees.find(a => a.login === author); + if (alreadyAssigned) { + console.log(`${author} is already assigned; skipping.`); + return; + } + + // Check if there is any other assignee + if (issue.assignees.length > 0) { + console.log("Issue already has an assignee; skipping assignment."); + return; + } + + // Assign to commenter + await github.rest.issues.addAssignees({ + owner: context.repo.owner, + repo: context.repo.repo, + issue_number: issue.number, + assignees: [author], + }); + + console.log(`Assigned ${author} to issue #${issue.number}`); \ No newline at end of file From 99998b493335449e4e7b99b594549da6004e6667 Mon Sep 17 00:00:00 2001 From: Siddharth Murching Date: Fri, 2 May 2025 09:46:32 -0700 Subject: [PATCH 16/21] Add clarifications about relationship with DB assistant & fix some README links (#23) Signed-off-by: Sid Murching --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index cc0b5d3..3ee76a5 100644 --- a/README.md +++ b/README.md @@ -20,9 +20,10 @@ Table of Contents An experimental collection of [MCP](https://modelcontextprotocol.io/introduction) servers to help AI agents fetch enterprise data from Databricks, automate common developer actions on Databricks, etc: * ![status: Beta](https://img.shields.io/badge/status-Beta-yellow?style=flat-square&logo=databricks) - [Databricks Unity Catalog server](./servers/unity_catalog/README.md): Fetch data and run tools registered in from Unity Catalog, making agents aware of your enterprise data + [Databricks Unity Catalog server](#unity-catalog-server): Fetch data and run tools registered in from Unity Catalog, making agents aware of your enterprise data * ![status: Under construction](https://img.shields.io/badge/status-Under_construction-red?style=flat-square&logo=databricks) - [Databricks developer tools server](): Perform common developer actions in Databricks, like creating and updating notebooks, running jobs, etc. This server is not yet usable, but contributions are welcome! + [Databricks developer tools server](#developer-tools-server): Perform common developer actions in Databricks, like creating and updating notebooks, running jobs, etc. This server is not yet usable, but contributions are welcome! + Note: if developing from within the Databricks product (e.g. using Databricks notebooks), we recommend using [Databricks Assistant](https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq) The set of servers and tools in this repo is fluid and will evolve over time. We welcome contributions to this repo - please first read the [contributor guidelines](CONTRIBUTING.md) to streamline the process and discover areas where help is needed. From 4469b8d3b0357bc210e65ea3d77bce05d72ea8c0 Mon Sep 17 00:00:00 2001 From: JordiNeil Date: Sat, 26 Apr 2025 00:43:10 -0500 Subject: [PATCH 17/21] Add initial dev-tools-mcp files --- .../mcp/servers/developer_tools/README.md | 72 +- .../servers/developer_tools/pyproject.toml | 7 + .../servers/developer_tools/src/Dockerfile | 26 + .../developer_tools/src/requirements.txt | 6 + .../mcp/servers/developer_tools/src/server.py | 460 ++++++++++++ .../developer_tools/src/test_connection.py | 128 ++++ .../labs/mcp/servers/developer_tools/uv.lock | 700 ++++++++++++++++++ 7 files changed, 1392 insertions(+), 7 deletions(-) create mode 100644 src/databricks/labs/mcp/servers/developer_tools/pyproject.toml create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/Dockerfile create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/requirements.txt create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/server.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/test_connection.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/uv.lock diff --git a/src/databricks/labs/mcp/servers/developer_tools/README.md b/src/databricks/labs/mcp/servers/developer_tools/README.md index a261a5f..f78ef62 100644 --- a/src/databricks/labs/mcp/servers/developer_tools/README.md +++ b/src/databricks/labs/mcp/servers/developer_tools/README.md @@ -8,27 +8,85 @@ A Model Context Protocol server that exposes common Databricks developer actions as tools. ## Usage +1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs +1. Add the server to your MCP client configuration. For example: + +
+Using uv + 1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/) 1. Install Python using `uv python install 3.12` -1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs -1. Add the server to your MCP client configuration. For example, to use this server with Claude Desktop, add the following to your `claude_desktop_config.json`: +1. Clone this repo `git clone https://github.com/databrickslabs/mcp.git` +1. Add to your `claude_desktop_config.json`: ```json { "mcpServers": { "databricks_developer_tools": { - "command": "/path/to/uv/executable/uv", + "command": "uv", "args": [ - "--directory", - "/path/to/this/repo/servers/developer_tools", "run", - "databricks-developer-tools" + "/path/to/repo/servers/developer_tools/src/server.py" ] } } } ``` +
+ +
+Using docker + +### Build the image + +```docker build -t databricks-mcp-dev-tools .``` + +Then update your `claude_desktop_config.json`: + +```json +{ + "mcpServers": { + "databricks_developer_tools": { + "command": "docker", + "args": [ + "run", + "--rm", + "-i", + "-e", + "DATABRICKS_HOST=", + "-e", + "DATABRICKS_TOKEN=", + "-e", + "DATABRICKS_HTTP_PATH=", + "databricks-mcp-dev-tools" + ] + } + } +} +``` +
+ +
+Using pip + +```json +{ + "mcpServers": { + "databricks_developer_tools": { + "command": "python", + "args": [ + "/path/to/databricks-developer-tools/src/server.py" + ] + } + } +} +``` + +
+ ## Supported tools -TODO: add a list here +## TODO: +- Publish the MCP as pypi package to avoid cloning the repo when using uv. +- Publish Docker image to dockerHub to avoid building the image when using docker. diff --git a/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml b/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml new file mode 100644 index 0000000..9fef877 --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml @@ -0,0 +1,7 @@ +[project] +name = "mcp-server-databricks" +version = "0.0.1" +description = "MCP server for Databricks developer tools" +readme = "README.md" +requires-python = ">=3.10" +dependencies = ["mcp>=1.0.0", "databricks-sql-connector>=2.4.0", "requests>=2.31.0", "packaging>=23.0"] diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/Dockerfile b/src/databricks/labs/mcp/servers/developer_tools/src/Dockerfile new file mode 100644 index 0000000..9d5f5cf --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/Dockerfile @@ -0,0 +1,26 @@ +FROM python:3.10-slim + +# Set the working directory in the container +WORKDIR /app + +# Copy requirements first to leverage Docker cache +COPY requirements.txt . + +# Install dependencies +RUN pip install --no-cache-dir -r requirements.txt + + +# Copy the rest of the application code into the container at /app +COPY . . + +# Make port 8000 available to the world outside this container +# (MCP servers typically run on port 8000 by default) +EXPOSE 8000 + +# Define environment variables (these will be overridden by docker run -e flags) +ENV DATABRICKS_HOST="" +ENV DATABRICKS_TOKEN="" +ENV DATABRICKS_HTTP_PATH="" + +# Run main.py when the container launches +CMD ["python", "server.py"] \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/requirements.txt b/src/databricks/labs/mcp/servers/developer_tools/src/requirements.txt new file mode 100644 index 0000000..d1f0931 --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/requirements.txt @@ -0,0 +1,6 @@ +databricks-sql-connector>=2.4.0 +pydantic>=2.0.0 +mcp>=0.1.0 +pyarrow>=14.0.1 +requests>=2.31.0 +packaging>=23.0 \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/server.py b/src/databricks/labs/mcp/servers/developer_tools/src/server.py new file mode 100644 index 0000000..bb5bfb2 --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/server.py @@ -0,0 +1,460 @@ +import os +from typing import Dict +from dotenv import load_dotenv +from databricks.sql import connect, exc as db_exc # Import Databricks SQL exceptions +from databricks.sql.client import Connection +from mcp.server.fastmcp import FastMCP +import requests +from requests import exceptions as req_exc # Import requests exceptions +import logging +import functools # Import functools for wraps + +# Load environment variables +load_dotenv() + +# Get Databricks credentials from environment variables +DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") +DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") +DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") + +# Set up the MCP server +mcp = FastMCP("Databricks API Explorer") + +# Global variable to hold the Databricks SQL connection +_db_connection: Connection | None = None + +# Error handling decorator for MCP tools +def log_tool_errors(func): + """Decorator to handle common exceptions for MCP tools, log them, and return standardized error messages.""" + @functools.wraps(func) + def wrapper(*args, **kwargs): + tool_name = func.__name__ + try: + # Execute the original tool function + return func(*args, **kwargs) + except ValueError as e: + # Configuration/Input errors (raised by helpers or tool validation) + logging.error(f"Configuration/Input Error in {tool_name}: {e}", exc_info=False) + return f"Configuration/Input Error: {str(e)}" + except db_exc.Error as db_error: + # Databricks SQL specific errors + logging.error(f"Databricks SQL Error in {tool_name}: {db_error}", exc_info=True) + return f"Database Error: {str(db_error)}" + except req_exc.HTTPError as http_err: + # HTTP errors from API requests + status_code = http_err.response.status_code + reason = http_err.response.reason + # Note: Specific status code handling (like 404) should be done within the tool function + # if a custom message is needed, before this general handler catches it. + logging.error(f"API Request Failed in {tool_name}: {status_code} {reason} - Response: {http_err.response.text}", exc_info=False) + return f"API Request Failed: {status_code} {reason}" + except req_exc.RequestException as req_err: + # Other requests errors (connection, timeout, etc.) + logging.error(f"API Connection/Request Error in {tool_name}: {req_err}", exc_info=True) + return f"API Connection/Request Error: {str(req_err)}" + except (KeyError, TypeError, AttributeError, IndexError) as data_err: # Added IndexError for safety + # Errors processing data (e.g., API responses) + logging.error(f"Error processing data in {tool_name}: {data_err}", exc_info=True) + return f"Error processing data: {str(data_err)}" + except Exception as e: + # Catch-all for unexpected errors + logging.error(f"Unexpected Error in {tool_name}: {e}", exc_info=True) + return f"An unexpected error occurred: {str(e)}" + return wrapper + +# Helper function to get a reusable Databricks SQL connection +def get_databricks_connection() -> Connection: + """Create and return a reusable Databricks SQL connection.""" + global _db_connection + + # Check if connection exists and is open + if _db_connection is not None: + try: + # TODO: Easier way to check if the connection is still valid? + cursor = _db_connection.cursor() + cursor.execute("SELECT 1") + cursor.close() + logging.info("Reusing existing Databricks SQL connection.") + return _db_connection + except db_exc.Error as db_error: + logging.warning(f"Existing connection seems invalid (DB Error: {db_error}), creating a new one.") + try: + if _db_connection: + _db_connection.close() + except db_exc.Error: + pass + except Exception as close_exc: + logging.error(f"Unexpected error closing potentially broken DB connection: {close_exc}") + _db_connection = None + except Exception as e: + logging.warning(f"Unexpected error checking connection liveness ({e}), creating a new one.") + _db_connection = None + + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN, DATABRICKS_HTTP_PATH]): + # This case is critical configuration error, raising is appropriate + raise ValueError("Missing required Databricks connection details in .env file") + + try: + logging.info("Creating new Databricks SQL connection.") + _db_connection = connect( + server_hostname=DATABRICKS_HOST, + http_path=DATABRICKS_HTTP_PATH, + access_token=DATABRICKS_TOKEN + ) + return _db_connection + except db_exc.Error as db_connect_error: + logging.error(f"Failed to connect to Databricks SQL Warehouse: {db_connect_error}") + raise + except Exception as connect_exc: + logging.error(f"Unexpected error creating Databricks SQL connection: {connect_exc}") + raise + +# Helper function for Databricks REST API requests +def databricks_api_request(endpoint: str, method: str = "GET", data: Dict = None) -> Dict: + """Make a request to the Databricks REST API, handling common errors.""" + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): + # This case is critical configuration error, raising is appropriate + raise ValueError("Missing required Databricks API credentials in .env file") + + headers = { + "Authorization": f"Bearer {DATABRICKS_TOKEN}", + "Content-Type": "application/json" + } + + url = f"https://{DATABRICKS_HOST}/api/2.0/{endpoint}" + + try: + if method.upper() == "GET": + response = requests.get(url, headers=headers) + elif method.upper() == "POST": + response = requests.post(url, headers=headers, json=data) + else: + # Internal programming error + raise ValueError(f"Unsupported HTTP method: {method}") + + response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx) + return response.json() + + except req_exc.HTTPError as http_err: + logging.error(f"HTTP error occurred: {http_err} - Response: {http_err.response.text}") + raise + except req_exc.ConnectionError as conn_err: + logging.error(f"Connection error occurred: {conn_err}") + raise + except req_exc.Timeout as timeout_err: + logging.error(f"Request timed out: {timeout_err}") + raise + except req_exc.RequestException as req_err: + logging.error(f"An error occurred during the API request: {req_err}") + raise + except ValueError as val_err: + logging.error(f"API Request internal error: {val_err}") + raise + +@mcp.resource("schema://tables") +@log_tool_errors +def get_schema() -> str: + """Provide the list of tables in the Databricks SQL warehouse as a resource""" + # The decorator will handle exceptions + conn = get_databricks_connection() # Use the shared connection + cursor = conn.cursor() + tables = cursor.tables().fetchall() + + table_info = [] + for table in tables: + table_info.append(f"Database: {table.TABLE_CAT}, Schema: {table.TABLE_SCHEM}, Table: {table.TABLE_NAME}") + + cursor.close() + return "\n".join(table_info) + +@mcp.tool() +@log_tool_errors +def run_sql_query(sql: str) -> str: + """Execute SQL queries on Databricks SQL warehouse""" + # The decorator will handle exceptions + conn = get_databricks_connection() # Use the shared connection + cursor = conn.cursor() + result = cursor.execute(sql) + + if result.description: + columns = [col[0] for col in result.description] + rows = result.fetchall() + cursor.close() + + if not rows: + return "Query executed successfully. No results returned." + + # Format as markdown table + # Keep internal try/except for formatting issues, but let others bubble up + try: + table = "| " + " | ".join(columns) + " |\n" + table += "| " + " | ".join(["---" for _ in columns]) + " |\n" + for row in rows: + table += "| " + " | ".join([str(cell) for cell in row]) + " |\n" + return table + except Exception as format_exc: + logging.error(f"Error formatting SQL results: {format_exc}", exc_info=True) + # Return a specific error for formatting, not the generic one from the decorator + return f"Error formatting results: {str(format_exc)}" + else: + cursor.close() + return "Query executed successfully. No results returned." + +@mcp.tool() +@log_tool_errors +def list_jobs() -> str: + """List all Databricks jobs""" + # The decorator will handle exceptions + response = databricks_api_request("jobs/list") + + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for list_jobs: {type(response)}") + # Raise an error for the decorator to catch with a standard message + raise TypeError("Received unexpected API response format.") + + jobs = response.get("jobs") + if jobs is None: + if "error_code" in response: + logging.error(f"API error in list_jobs response: {response}") + # Let the decorator handle this as likely an API/Request error or data error + # depending on what databricks_api_request raised or if it succeeded but gave error payload + raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") + else: + return "No jobs found." + if not isinstance(jobs, list): + logging.error(f"Unexpected 'jobs' format in list_jobs response: {type(jobs)}") + raise TypeError("Received unexpected API response format for jobs list.") + + # Format as markdown table + table_rows = ["| Job ID | Job Name | Created By |", "| ------ | -------- | ---------- |"] + for job in jobs: + if not isinstance(job, dict): + logging.warning(f"Skipping invalid job item in list_jobs: {job}") + continue + job_id = job.get("job_id", "N/A") + job_name = job.get("settings", {}).get("name", "N/A") + creator = job.get("creator_user_name", "N/A") + + table_rows.append(f"| {job_id} | {job_name} | {creator} |") + + return "\n".join(table_rows) + +@mcp.tool() +@log_tool_errors +def get_job_status(job_id: int) -> str: + """Get the status of a specific Databricks job""" + # The decorator will handle general exceptions + + # Add basic input validation (can raise ValueError handled by decorator) + if not isinstance(job_id, int) or job_id <= 0: + raise ValueError("Invalid Job ID provided.") + + response = databricks_api_request("jobs/runs/list", data={"job_id": job_id}) + + # Error handling for unexpected API response structure (raise for decorator) + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for get_job_status: {type(response)}") + raise TypeError("Received unexpected API response format.") + + runs = response.get("runs") + if runs is None: + if "error_code" in response: + logging.error(f"API error in get_job_status response: {response}") + raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") + else: + return f"No runs found for job ID {job_id}." + if not isinstance(runs, list): + logging.error(f"Unexpected 'runs' format in get_job_status response: {type(runs)}") + raise TypeError("Received unexpected API response format for runs list.") + + if not runs: # Check if list is empty after verifying it's a list + return f"No runs found for job ID {job_id}." + + # Format as markdown table + import datetime # Import moved inside for scope + table_rows = ["| Run ID | State | Start Time | End Time | Duration |", "| ------ | ----- | ---------- | -------- | -------- |"] + + for run in runs: + if not isinstance(run, dict): + logging.warning(f"Skipping invalid run item in get_job_status: {run}") + continue + + run_id = run.get("run_id", "N/A") + # Safer access to nested state + state_info = run.get("state", {}) + state = state_info.get("life_cycle_state", "N/A") # life_cycle_state is often more useful + result_state = state_info.get("result_state") + if result_state: + state += f" ({result_state})" + + start_time = run.get("start_time") + end_time = run.get("end_time") + duration_ms = run.get("execution_duration") # Use execution_duration if available + + duration = "N/A" + if duration_ms is not None and duration_ms > 0: + duration = f"{duration_ms / 1000:.2f}s" + elif start_time and end_time: + # Fallback calculation if execution_duration missing + duration = f"{(end_time - start_time) / 1000:.2f}s" + + start_time_str = datetime.datetime.fromtimestamp(start_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if start_time else "N/A" + end_time_str = datetime.datetime.fromtimestamp(end_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if end_time else "N/A" + + table_rows.append(f"| {run_id} | {state} | {start_time_str} | {end_time_str} | {duration} |") + + return "\n".join(table_rows) + +@mcp.tool() +@log_tool_errors +def get_job_details(job_id: int) -> str: + """Get detailed information about a specific Databricks job""" + # Decorator handles most exceptions + + # Basic input validation (raises ValueError handled by decorator) + if not isinstance(job_id, int) or job_id <= 0: + raise ValueError("Invalid Job ID provided.") + + try: + response = databricks_api_request(f"jobs/get?job_id={job_id}", method="GET") + except req_exc.HTTPError as http_err: + # Specifically check for 404 for job not found before decorator + if http_err.response.status_code == 404: + logging.warning(f"Job ID {job_id} not found (404) in get_job_details.") # Log warning + return f"Error: Job ID {job_id} not found." # Return specific message + else: + raise # Re-raise other HTTP errors for the decorator to handle + + # Error handling for unexpected API response structure (raise for decorator) + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for get_job_details: {type(response)}") + raise TypeError("Received unexpected API response format.") + + # Safer access using .get() + settings = response.get("settings", {}) + job_name = settings.get("name", "N/A") + created_time = response.get("created_time") + creator_user_name = response.get('creator_user_name', 'N/A') + tasks = settings.get("tasks", []) + + # Convert timestamp to readable format + import datetime # Import moved inside for scope + created_time_str = datetime.datetime.fromtimestamp(created_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if created_time else "N/A" + + result_lines = [f"## Job Details: {job_name}\n"] + result_lines.append(f"- **Job ID:** {job_id}") + result_lines.append(f"- **Created:** {created_time_str}") + result_lines.append(f"- **Creator:** {creator_user_name}\n") + + if isinstance(tasks, list) and tasks: # Check tasks is a non-empty list + result_lines.append("### Tasks:\n") + result_lines.append("| Task Key | Task Type | Description |") + result_lines.append("| -------- | --------- | ----------- |") + + for task in tasks: + if not isinstance(task, dict): + logging.warning(f"Skipping invalid task item in get_job_details: {task}") + continue + + task_key = task.get("task_key", "N/A") + # Simplified task type extraction (assuming one _task key) + task_type = next((k.replace('_task', '') for k in task if k.endswith('_task')), "N/A") + description = task.get("description", "N/A") + + result_lines.append(f"| {task_key} | {task_type} | {description} |") + else: + result_lines.append("No tasks defined for this job.") + + return "\n".join(result_lines) + +@mcp.tool() +@log_tool_errors # Apply decorator for fallback error handling +def test_databricks_connections() -> str: + """Tests connections to Databricks API and SQL Warehouse using configured credentials.""" + results = [] + env_ok = True + api_ok = False + sql_ok = False + + # 1. Check Environment Variables (implicitly by trying to use helpers) + results.append("### Environment Variable Check") + try: + # Check if critical vars are present (databricks_api_request checks HOST/TOKEN) + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): + raise ValueError("DATABRICKS_HOST or DATABRICKS_TOKEN missing") + # Check if SQL vars are present (get_databricks_connection checks all three) + if not DATABRICKS_HTTP_PATH: + raise ValueError("DATABRICKS_HTTP_PATH missing") + # Attempt to get connection which checks all three SQL vars + results.append("✅ Required environment variables seem configured.") + + except ValueError as e: + results.append(f"❌ Failed: {str(e)}") + env_ok = False + except Exception as e: # Catch other potential issues during connection check + results.append(f"❌ Unexpected error checking environment/connection init: {str(e)}") + env_ok = False + + # 2. Test Databricks API Connection (only if env vars seem okay) + results.append("\n### Databricks API Test") + if env_ok: + try: + # Use a simple, common API endpoint + databricks_api_request("clusters/list-node-types") + results.append("✅ Successfully connected to Databricks API.") + api_ok = True + except req_exc.HTTPError as http_err: + results.append(f"❌ API Connection Failed: {http_err.response.status_code} {http_err.response.reason}") + except req_exc.RequestException as req_err: + results.append(f"❌ API Connection Error: {str(req_err)}") + except ValueError as e: # From databricks_api_request internal checks + results.append(f"❌ API Configuration Error: {str(e)}") + # Let decorator handle other unexpected errors + else: + results.append("⚪ Skipped (due to environment variable issues).") + + # 3. Test Databricks SQL Warehouse Connection (only if env vars seem okay) + results.append("\n### Databricks SQL Warehouse Test") + if env_ok: + try: + conn = get_databricks_connection() # Re-establish connection + cursor = conn.cursor() + cursor.execute("SELECT 1") + result = cursor.fetchall() + cursor.close() + # Do not close conn here, let get_databricks_connection manage it + if result and result[0][0] == 1: + results.append("✅ Successfully connected and queried SQL warehouse.") + sql_ok = True + else: + results.append("❌ Connected to SQL warehouse, but test query failed.") + except db_exc.Error as db_error: + results.append(f"❌ SQL Connection/Query Failed: {str(db_error)}") + except ValueError as e: # From get_databricks_connection internal checks + results.append(f"❌ SQL Configuration Error: {str(e)}") + # Let decorator handle other unexpected errors + else: + results.append("⚪ Skipped (due to environment variable issues).") + + # 4. Summary + results.append("\n### Summary") + results.append(f"- Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") + results.append(f"- Databricks API: {'✅ OK' if api_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") + results.append(f"- Databricks SQL: {'✅ OK' if sql_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") + + if env_ok and api_ok and sql_ok: + results.append("\n✅ All connection tests passed!") + else: + results.append("\n❌ One or more connection tests failed.") + + return "\n".join(results) + DATABRICKS_HOST + +def main(): + print("Starting MCP server") + test_databricks_connections() + # Setup basic logging + logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') + mcp.run() + +if __name__ == "__main__": + main() diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/test_connection.py b/src/databricks/labs/mcp/servers/developer_tools/src/test_connection.py new file mode 100644 index 0000000..5a971ab --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/test_connection.py @@ -0,0 +1,128 @@ +#!/usr/bin/env python +""" +Databricks Connection Test Script +This script tests the connection to Databricks using credentials from the .env file. +It attempts to connect to both the SQL warehouse and the Databricks API. +""" + +import os +from dotenv import load_dotenv +import sys + +# Load environment variables +load_dotenv() + +# Get Databricks credentials from environment variables +DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") +DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") +DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") + +def check_env_vars(): + """Check if all required environment variables are set""" + missing = [] + if not DATABRICKS_HOST: + missing.append("DATABRICKS_HOST") + if not DATABRICKS_TOKEN: + missing.append("DATABRICKS_TOKEN") + if not DATABRICKS_HTTP_PATH: + missing.append("DATABRICKS_HTTP_PATH") + + if missing: + print("❌ Missing required environment variables:") + for var in missing: + print(f" - {var}") + print("\nPlease check your .env file and make sure all required variables are set.") + return False + + print("✅ All required environment variables are set") + return True + +def test_databricks_api(): + """Test connection to Databricks API""" + import requests + + print("\nTesting Databricks API connection...") + + try: + headers = { + "Authorization": f"Bearer {DATABRICKS_TOKEN}", + "Content-Type": "application/json" + } + + url = f"https://{DATABRICKS_HOST}/api/2.0/clusters/list-node-types" + response = requests.get(url, headers=headers) + + if response.status_code == 200: + print("✅ Successfully connected to Databricks API") + return True + else: + print(f"❌ Failed to connect to Databricks API: {response.status_code} - {response.text}") + return False + except Exception as e: + print(f"❌ Error connecting to Databricks API: {str(e)}") + return False + +def test_sql_connection(): + """Test connection to Databricks SQL warehouse""" + print("\nTesting Databricks SQL warehouse connection...") + + try: + from databricks.sql import connect + + conn = connect( + server_hostname=DATABRICKS_HOST, + http_path=DATABRICKS_HTTP_PATH, + access_token=DATABRICKS_TOKEN + ) + + cursor = conn.cursor() + cursor.execute("SELECT 1 AS test") + result = cursor.fetchall() + + if result and result[0][0] == 1: + print("✅ Successfully connected to Databricks SQL warehouse") + conn.close() + return True + else: + print("❌ Failed to get expected result from SQL warehouse") + conn.close() + return False + except Exception as e: + print(f"❌ Error connecting to Databricks SQL warehouse: {str(e)}") + return False + +if __name__ == "__main__": + print("Databricks Connection Test") + print("=========================\n") + + # Check for dependencies + try: + import requests + from databricks.sql import connect + except ImportError as e: + print(f"❌ Missing dependency: {str(e)}") + print("Please run: pip install -r requirements.txt") + sys.exit(1) + + # Run tests + env_ok = check_env_vars() + + if not env_ok: + sys.exit(1) + + api_ok = test_databricks_api() + sql_ok = test_sql_connection() + + # Summary + print("\nTest Summary") + print("===========") + print(f"Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") + print(f"Databricks API: {'✅ OK' if api_ok else '❌ Failed'}") + print(f"Databricks SQL: {'✅ OK' if sql_ok else '❌ Failed'}") + + if env_ok and api_ok and sql_ok: + print("\n✅ All tests passed! 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tools mcp with uv and docker --- .../mcp/servers/developer_tools/Dockerfile | 24 + .../labs/mcp/servers/developer_tools/LICENSE | 23 + .../mcp/servers/developer_tools/README.md | 38 +- .../servers/developer_tools/pyproject.toml | 17 +- .../src/developer_tools_mcp/__init__.py | 20 + .../src/developer_tools_mcp/__main__.py | 5 + .../src/developer_tools_mcp/server-old.py | 456 ++++++++++++++++++ .../src/developer_tools_mcp/server.py | 61 +++ .../developer_tools_mcp/test_connection.py | 128 +++++ .../src/developer_tools_mcp/tools/__init__.py | 20 + .../developer_tools_mcp/tools/base_tool.py | 13 + .../src/developer_tools_mcp/tools/jobs.py | 84 ++++ .../developer_tools_mcp/tools/sql_query.py | 111 +++++ .../tools/test_connection.py | 115 +++++ .../src/developer_tools_mcp/version.py | 1 + .../labs/mcp/servers/developer_tools/uv.lock | 109 ++++- 16 files changed, 1200 insertions(+), 25 deletions(-) create mode 100644 src/databricks/labs/mcp/servers/developer_tools/Dockerfile create mode 100644 src/databricks/labs/mcp/servers/developer_tools/LICENSE create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__init__.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__main__.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server-old.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/test_connection.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py create mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/version.py diff --git a/src/databricks/labs/mcp/servers/developer_tools/Dockerfile b/src/databricks/labs/mcp/servers/developer_tools/Dockerfile new file mode 100644 index 0000000..8d9d8be --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/Dockerfile @@ -0,0 +1,24 @@ +FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim + +# Set the working directory in the container +WORKDIR /app + +# Copy package configuration and requirements +COPY ./pyproject.toml ./pyproject.toml +COPY ./uv.lock ./uv.lock +COPY ./README.md ./README.md + +# Copy the package code +COPY ./src ./src + +# Make port 8000 available to the world outside this container +# (MCP servers typically run on port 8000 by default) +EXPOSE 8000 + +# Define environment variables (these will be overridden by docker run -e flags) +ENV DATABRICKS_HOST="" +ENV DATABRICKS_TOKEN="" +ENV DATABRICKS_HTTP_PATH="" + +# Run the module properly +CMD ["uv", "run", "developer-tools-mcp"] \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/LICENSE b/src/databricks/labs/mcp/servers/developer_tools/LICENSE new file mode 100644 index 0000000..f33f180 --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/LICENSE @@ -0,0 +1,23 @@ +# DB license +Definitions. + +Agreement: The agreement between Databricks, Inc., and you governing the use of the Databricks Services, as that term is defined in the Master Cloud Services Agreement (MCSA) located at www.databricks.com/legal/mcsa. + +Licensed Materials: The source code, object code, data, and/or other works to which this license applies. + +Scope of Use. You may not use the Licensed Materials except in connection with your use of the Databricks Services pursuant to the Agreement. Your use of the Licensed Materials must comply at all times with any restrictions applicable to the Databricks Services, generally, and must be used in accordance with any applicable documentation. You may view, use, copy, modify, publish, and/or distribute the Licensed Materials solely for the purposes of using the Licensed Materials within or connecting to the Databricks Services. If you do not agree to these terms, you may not view, use, copy, modify, publish, and/or distribute the Licensed Materials. + +Redistribution. You may redistribute and sublicense the Licensed Materials so long as all use is in compliance with these terms. In addition: + +You must give any other recipients a copy of this License; +You must cause any modified files to carry prominent notices stating that you changed the files; +You must retain, in any derivative works that you distribute, all copyright, patent, trademark, and attribution notices, excluding those notices that do not pertain to any part of the derivative works; and +If a "NOTICE" text file is provided as part of its distribution, then any derivative works that you distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the derivative works. +You may add your own copyright statement to your modifications and may provide additional license terms and conditions for use, reproduction, or distribution of your modifications, or for any such derivative works as a whole, provided your use, reproduction, and distribution of the Licensed Materials otherwise complies with the conditions stated in this License. + +Termination. This license terminates automatically upon your breach of these terms or upon the termination of your Agreement. Additionally, Databricks may terminate this license at any time on notice. Upon termination, you must permanently delete the Licensed Materials and all copies thereof. + + +DISCLAIMER; LIMITATION OF LIABILITY. + +THE LICENSED MATERIALS ARE PROVIDED “AS-IS” AND WITH ALL FAULTS. DATABRICKS, ON BEHALF OF ITSELF AND ITS LICENSORS, SPECIFICALLY DISCLAIMS ALL WARRANTIES RELATING TO THE LICENSED MATERIALS, EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, IMPLIED WARRANTIES, CONDITIONS AND OTHER TERMS OF MERCHANTABILITY, SATISFACTORY QUALITY OR FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. DATABRICKS AND ITS LICENSORS TOTAL AGGREGATE LIABILITY RELATING TO OR ARISING OUT OF YOUR USE OF OR DATABRICKS’ PROVISIONING OF THE LICENSED MATERIALS SHALL BE LIMITED TO ONE THOUSAND ($1,000) DOLLARS. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE LICENSED MATERIALS OR THE USE OR OTHER DEALINGS IN THE LICENSED MATERIALS. diff --git a/src/databricks/labs/mcp/servers/developer_tools/README.md b/src/databricks/labs/mcp/servers/developer_tools/README.md index f78ef62..f5624a5 100644 --- a/src/databricks/labs/mcp/servers/developer_tools/README.md +++ b/src/databricks/labs/mcp/servers/developer_tools/README.md @@ -17,22 +17,35 @@ A Model Context Protocol server that exposes common Databricks developer actions 1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/) 1. Install Python using `uv python install 3.12` 1. Clone this repo `git clone https://github.com/databrickslabs/mcp.git` +1. Create a file named `.env` 1. Add to your `claude_desktop_config.json`: ```json { "mcpServers": { - "databricks_developer_tools": { + "databricks-developer-tools": { "command": "uv", "args": [ "run", - "/path/to/repo/servers/developer_tools/src/server.py" + "--directory", + "path/to/developer/tools/folder", + "--env-file", + "path/to/envfile/.env", + "developer-tools-mcp" ] } } } ``` +Create the file named `.env` with the following content: + +``` +DATABRICKS_HOST=dbc-123abc45-6def.cloud.databricks.com +DATABRICKS_TOKEN=dapi123456789abcdef +DATABRICKS_HTTP_PATH=/sql/1.0/warehouses/abc123def456ghi +``` +
@@ -76,8 +89,13 @@ Then update your `claude_desktop_config.json`: "databricks_developer_tools": { "command": "python", "args": [ - "/path/to/databricks-developer-tools/src/server.py" - ] + "/path/to/databricks-developer-tools/src/developer_tools_mcp" + ], + "env": { + "DATABRICKS_HOST": "", + "DATABRICKS_TOKEN": "", + "DATABRICKS_HTTP_PATH": "" + } } } } @@ -87,6 +105,18 @@ Then update your `claude_desktop_config.json`: ## Supported tools +The following tools are currently implemented and available: + +### Jobs Management +- **list_jobs**: Lists all jobs in the workspace with basic information like job ID, name, and creator. +- **get_job**: Gets detailed information about a specific job by ID. + +### SQL Querying +- **run_sql_query**: Executes SQL queries on Databricks SQL warehouse and returns results as a markdown table. Useful for data exploration and extraction. + +### Connection Testing +- **test_connection**: Tests connectivity to both the Databricks API and SQL warehouse to verify your credentials and configuration. + ## TODO: - Publish the MCP as pypi package to avoid cloning the repo when using uv. - Publish Docker image to dockerHub to avoid building the image when using docker. diff --git a/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml b/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml index 9fef877..58f204c 100644 --- a/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml +++ b/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml @@ -1,7 +1,20 @@ [project] -name = "mcp-server-databricks" +name = "developer-tools-mcp" version = "0.0.1" description = "MCP server for Databricks developer tools" readme = "README.md" requires-python = ">=3.10" -dependencies = ["mcp>=1.0.0", "databricks-sql-connector>=2.4.0", "requests>=2.31.0", "packaging>=23.0"] +dependencies = [ + "mcp>=1.0.0", + "databricks-sql-connector>=2.4.0", + "requests>=2.31.0", + "packaging>=23.0", + "databricks-sdk" +] + +[project.scripts] +developer-tools-mcp = "developer_tools_mcp:main" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__init__.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__init__.py new file mode 100644 index 0000000..0b2410c --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__init__.py @@ -0,0 +1,20 @@ +import sys +from traceback import format_exc +from developer_tools_mcp.server import start +from developer_tools_mcp.version import VERSION + +from databricks.sdk.config import with_user_agent_extra + + +def main() -> None: + import asyncio + + with_user_agent_extra(key="developer-tools-mcp", value=VERSION) + asyncio.run(start()) + + +if __name__ == "__main__": + try: + main() + except Exception as _: + print(format_exc(), file=sys.stderr) \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__main__.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__main__.py new file mode 100644 index 0000000..521134b --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__main__.py @@ -0,0 +1,5 @@ +from developer_tools_mcp import main + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server-old.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server-old.py new file mode 100644 index 0000000..82bd764 --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server-old.py @@ -0,0 +1,456 @@ +import os +from typing import Dict +from dotenv import load_dotenv +from databricks.sql import connect, exc as db_exc # Import Databricks SQL exceptions +from databricks.sql.client import Connection +from mcp.server.fastmcp import FastMCP +import requests +from requests import exceptions as req_exc # Import requests exceptions +import logging +import functools # Import functools for wraps + +# Load environment variables +load_dotenv() + +# Get Databricks credentials from environment variables +DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") +DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") +DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") + +# Set up the MCP server +mcp = FastMCP("Databricks API Explorer") + +# Global variable to hold the Databricks SQL connection +_db_connection: Connection | None = None + +# Error handling decorator for MCP tools +def log_tool_errors(func): + """Decorator to handle common exceptions for MCP tools, log them, and return standardized error messages.""" + @functools.wraps(func) + def wrapper(*args, **kwargs): + tool_name = func.__name__ + try: + # Execute the original tool function + return func(*args, **kwargs) + except ValueError as e: + # Configuration/Input errors (raised by helpers or tool validation) + logging.error(f"Configuration/Input Error in {tool_name}: {e}", exc_info=False) + return f"Configuration/Input Error: {str(e)}" + except db_exc.Error as db_error: + # Databricks SQL specific errors + logging.error(f"Databricks SQL Error in {tool_name}: {db_error}", exc_info=True) + return f"Database Error: {str(db_error)}" + except req_exc.HTTPError as http_err: + # HTTP errors from API requests + status_code = http_err.response.status_code + reason = http_err.response.reason + # Note: Specific status code handling (like 404) should be done within the tool function + # if a custom message is needed, before this general handler catches it. + logging.error(f"API Request Failed in {tool_name}: {status_code} {reason} - Response: {http_err.response.text}", exc_info=False) + return f"API Request Failed: {status_code} {reason}" + except req_exc.RequestException as req_err: + # Other requests errors (connection, timeout, etc.) + logging.error(f"API Connection/Request Error in {tool_name}: {req_err}", exc_info=True) + return f"API Connection/Request Error: {str(req_err)}" + except (KeyError, TypeError, AttributeError, IndexError) as data_err: # Added IndexError for safety + # Errors processing data (e.g., API responses) + logging.error(f"Error processing data in {tool_name}: {data_err}", exc_info=True) + return f"Error processing data: {str(data_err)}" + except Exception as e: + # Catch-all for unexpected errors + logging.error(f"Unexpected Error in {tool_name}: {e}", exc_info=True) + return f"An unexpected error occurred: {str(e)}" + return wrapper + +# Helper function to get a reusable Databricks SQL connection +def get_databricks_connection() -> Connection: + """Create and return a reusable Databricks SQL connection.""" + global _db_connection + + # Check if connection exists and is open + if _db_connection is not None: + try: + # TODO: Easier way to check if the connection is still valid? + cursor = _db_connection.cursor() + cursor.execute("SELECT 1") + cursor.close() + logging.info("Reusing existing Databricks SQL connection.") + return _db_connection + except db_exc.Error as db_error: + logging.warning(f"Existing connection seems invalid (DB Error: {db_error}), creating a new one.") + try: + if _db_connection: + _db_connection.close() + except db_exc.Error: + pass + except Exception as close_exc: + logging.error(f"Unexpected error closing potentially broken DB connection: {close_exc}") + _db_connection = None + except Exception as e: + logging.warning(f"Unexpected error checking connection liveness ({e}), creating a new one.") + _db_connection = None + + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN, DATABRICKS_HTTP_PATH]): + # This case is critical configuration error, raising is appropriate + raise ValueError("Missing required Databricks connection details in .env file") + + try: + logging.info("Creating new Databricks SQL connection.") + _db_connection = connect( + server_hostname=DATABRICKS_HOST, + http_path=DATABRICKS_HTTP_PATH, + access_token=DATABRICKS_TOKEN + ) + return _db_connection + except db_exc.Error as db_connect_error: + logging.error(f"Failed to connect to Databricks SQL Warehouse: {db_connect_error}") + raise + except Exception as connect_exc: + logging.error(f"Unexpected error creating Databricks SQL connection: {connect_exc}") + raise + +# Helper function for Databricks REST API requests +def databricks_api_request(endpoint: str, method: str = "GET", data: Dict = None) -> Dict: + """Make a request to the Databricks REST API, handling common errors.""" + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): + # This case is critical configuration error, raising is appropriate + raise ValueError("Missing required Databricks API credentials in .env file") + + headers = { + "Authorization": f"Bearer {DATABRICKS_TOKEN}", + "Content-Type": "application/json" + } + + url = f"https://{DATABRICKS_HOST}/api/2.0/{endpoint}" + + try: + if method.upper() == "GET": + response = requests.get(url, headers=headers) + elif method.upper() == "POST": + response = requests.post(url, headers=headers, json=data) + else: + # Internal programming error + raise ValueError(f"Unsupported HTTP method: {method}") + + response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx) + return response.json() + + except req_exc.HTTPError as http_err: + logging.error(f"HTTP error occurred: {http_err} - Response: {http_err.response.text}") + raise + except req_exc.ConnectionError as conn_err: + logging.error(f"Connection error occurred: {conn_err}") + raise + except req_exc.Timeout as timeout_err: + logging.error(f"Request timed out: {timeout_err}") + raise + except req_exc.RequestException as req_err: + logging.error(f"An error occurred during the API request: {req_err}") + raise + except ValueError as val_err: + logging.error(f"API Request internal error: {val_err}") + raise + +@mcp.resource("schema://tables") +@log_tool_errors +def get_schema() -> str: + """Provide the list of tables in the Databricks SQL warehouse as a resource""" + # The decorator will handle exceptions + conn = get_databricks_connection() # Use the shared connection + cursor = conn.cursor() + tables = cursor.tables().fetchall() + + table_info = [] + for table in tables: + table_info.append(f"Database: {table.TABLE_CAT}, Schema: {table.TABLE_SCHEM}, Table: {table.TABLE_NAME}") + + cursor.close() + return "\n".join(table_info) + +@mcp.tool() +@log_tool_errors +def run_sql_query(sql: str) -> str: + """Execute SQL queries on Databricks SQL warehouse""" + # The decorator will handle exceptions + conn = get_databricks_connection() # Use the shared connection + cursor = conn.cursor() + result = cursor.execute(sql) + + if result.description: + columns = [col[0] for col in result.description] + rows = result.fetchall() + cursor.close() + + if not rows: + return "Query executed successfully. No results returned." + + # Format as markdown table + # Keep internal try/except for formatting issues, but let others bubble up + try: + table = "| " + " | ".join(columns) + " |\n" + table += "| " + " | ".join(["---" for _ in columns]) + " |\n" + for row in rows: + table += "| " + " | ".join([str(cell) for cell in row]) + " |\n" + return table + except Exception as format_exc: + logging.error(f"Error formatting SQL results: {format_exc}", exc_info=True) + # Return a specific error for formatting, not the generic one from the decorator + return f"Error formatting results: {str(format_exc)}" + else: + cursor.close() + return "Query executed successfully. No results returned." + +@mcp.tool() +@log_tool_errors +def list_jobs() -> str: + """List all Databricks jobs""" + # The decorator will handle exceptions + response = databricks_api_request("jobs/list") + + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for list_jobs: {type(response)}") + # Raise an error for the decorator to catch with a standard message + raise TypeError("Received unexpected API response format.") + + jobs = response.get("jobs") + if jobs is None: + if "error_code" in response: + logging.error(f"API error in list_jobs response: {response}") + # Let the decorator handle this as likely an API/Request error or data error + # depending on what databricks_api_request raised or if it succeeded but gave error payload + raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") + else: + return "No jobs found." + if not isinstance(jobs, list): + logging.error(f"Unexpected 'jobs' format in list_jobs response: {type(jobs)}") + raise TypeError("Received unexpected API response format for jobs list.") + + # Format as markdown table + table_rows = ["| Job ID | Job Name | Created By |", "| ------ | -------- | ---------- |"] + for job in jobs: + if not isinstance(job, dict): + logging.warning(f"Skipping invalid job item in list_jobs: {job}") + continue + job_id = job.get("job_id", "N/A") + job_name = job.get("settings", {}).get("name", "N/A") + creator = job.get("creator_user_name", "N/A") + + table_rows.append(f"| {job_id} | {job_name} | {creator} |") + + return "\n".join(table_rows) + +@mcp.tool() +@log_tool_errors +def get_job_status(job_id: int) -> str: + """Get the status of a specific Databricks job""" + # The decorator will handle general exceptions + + # Add basic input validation (can raise ValueError handled by decorator) + if not isinstance(job_id, int) or job_id <= 0: + raise ValueError("Invalid Job ID provided.") + + response = databricks_api_request("jobs/runs/list", data={"job_id": job_id}) + + # Error handling for unexpected API response structure (raise for decorator) + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for get_job_status: {type(response)}") + raise TypeError("Received unexpected API response format.") + + runs = response.get("runs") + if runs is None: + if "error_code" in response: + logging.error(f"API error in get_job_status response: {response}") + raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") + else: + return f"No runs found for job ID {job_id}." + if not isinstance(runs, list): + logging.error(f"Unexpected 'runs' format in get_job_status response: {type(runs)}") + raise TypeError("Received unexpected API response format for runs list.") + + if not runs: # Check if list is empty after verifying it's a list + return f"No runs found for job ID {job_id}." + + # Format as markdown table + import datetime # Import moved inside for scope + table_rows = ["| Run ID | State | Start Time | End Time | Duration |", "| ------ | ----- | ---------- | -------- | -------- |"] + + for run in runs: + if not isinstance(run, dict): + logging.warning(f"Skipping invalid run item in get_job_status: {run}") + continue + + run_id = run.get("run_id", "N/A") + # Safer access to nested state + state_info = run.get("state", {}) + state = state_info.get("life_cycle_state", "N/A") # life_cycle_state is often more useful + result_state = state_info.get("result_state") + if result_state: + state += f" ({result_state})" + + start_time = run.get("start_time") + end_time = run.get("end_time") + duration_ms = run.get("execution_duration") # Use execution_duration if available + + duration = "N/A" + if duration_ms is not None and duration_ms > 0: + duration = f"{duration_ms / 1000:.2f}s" + elif start_time and end_time: + # Fallback calculation if execution_duration missing + duration = f"{(end_time - start_time) / 1000:.2f}s" + + start_time_str = datetime.datetime.fromtimestamp(start_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if start_time else "N/A" + end_time_str = datetime.datetime.fromtimestamp(end_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if end_time else "N/A" + + table_rows.append(f"| {run_id} | {state} | {start_time_str} | {end_time_str} | {duration} |") + + return "\n".join(table_rows) + +@mcp.tool() +@log_tool_errors +def get_job_details(job_id: int) -> str: + """Get detailed information about a specific Databricks job""" + # Decorator handles most exceptions + + # Basic input validation (raises ValueError handled by decorator) + if not isinstance(job_id, int) or job_id <= 0: + raise ValueError("Invalid Job ID provided.") + + try: + response = databricks_api_request(f"jobs/get?job_id={job_id}", method="GET") + except req_exc.HTTPError as http_err: + # Specifically check for 404 for job not found before decorator + if http_err.response.status_code == 404: + logging.warning(f"Job ID {job_id} not found (404) in get_job_details.") # Log warning + return f"Error: Job ID {job_id} not found." # Return specific message + else: + raise # Re-raise other HTTP errors for the decorator to handle + + # Error handling for unexpected API response structure (raise for decorator) + if not isinstance(response, dict): + logging.error(f"Unexpected API response type for get_job_details: {type(response)}") + raise TypeError("Received unexpected API response format.") + + # Safer access using .get() + settings = response.get("settings", {}) + job_name = settings.get("name", "N/A") + created_time = response.get("created_time") + creator_user_name = response.get('creator_user_name', 'N/A') + tasks = settings.get("tasks", []) + + # Convert timestamp to readable format + import datetime # Import moved inside for scope + created_time_str = datetime.datetime.fromtimestamp(created_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if created_time else "N/A" + + result_lines = [f"## Job Details: {job_name}\n"] + result_lines.append(f"- **Job ID:** {job_id}") + result_lines.append(f"- **Created:** {created_time_str}") + result_lines.append(f"- **Creator:** {creator_user_name}\n") + + if isinstance(tasks, list) and tasks: # Check tasks is a non-empty list + result_lines.append("### Tasks:\n") + result_lines.append("| Task Key | Task Type | Description |") + result_lines.append("| -------- | --------- | ----------- |") + + for task in tasks: + if not isinstance(task, dict): + logging.warning(f"Skipping invalid task item in get_job_details: {task}") + continue + + task_key = task.get("task_key", "N/A") + # Simplified task type extraction (assuming one _task key) + task_type = next((k.replace('_task', '') for k in task if k.endswith('_task')), "N/A") + description = task.get("description", "N/A") + + result_lines.append(f"| {task_key} | {task_type} | {description} |") + else: + result_lines.append("No tasks defined for this job.") + + return "\n".join(result_lines) + +@mcp.tool() +@log_tool_errors # Apply decorator for fallback error handling +def test_databricks_connections() -> str: + """Tests connections to Databricks API and SQL Warehouse using configured credentials.""" + results = [] + env_ok = True + api_ok = False + sql_ok = False + + # 1. Check Environment Variables (implicitly by trying to use helpers) + results.append("### Environment Variable Check") + try: + # Check if critical vars are present (databricks_api_request checks HOST/TOKEN) + if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): + raise ValueError("DATABRICKS_HOST or DATABRICKS_TOKEN missing") + # Check if SQL vars are present (get_databricks_connection checks all three) + if not DATABRICKS_HTTP_PATH: + raise ValueError("DATABRICKS_HTTP_PATH missing") + # Attempt to get connection which checks all three SQL vars + results.append("✅ Required environment variables seem configured.") + + except ValueError as e: + results.append(f"❌ Failed: {str(e)}") + env_ok = False + except Exception as e: # Catch other potential issues during connection check + results.append(f"❌ Unexpected error checking environment/connection init: {str(e)}") + env_ok = False + + # 2. Test Databricks API Connection (only if env vars seem okay) + results.append("\n### Databricks API Test") + if env_ok: + try: + # Use a simple, common API endpoint + databricks_api_request("clusters/list-node-types") + results.append("✅ Successfully connected to Databricks API.") + api_ok = True + except req_exc.HTTPError as http_err: + results.append(f"❌ API Connection Failed: {http_err.response.status_code} {http_err.response.reason}") + except req_exc.RequestException as req_err: + results.append(f"❌ API Connection Error: {str(req_err)}") + except ValueError as e: # From databricks_api_request internal checks + results.append(f"❌ API Configuration Error: {str(e)}") + # Let decorator handle other unexpected errors + else: + results.append("⚪ Skipped (due to environment variable issues).") + + # 3. Test Databricks SQL Warehouse Connection (only if env vars seem okay) + results.append("\n### Databricks SQL Warehouse Test") + if env_ok: + try: + conn = get_databricks_connection() # Re-establish connection + cursor = conn.cursor() + cursor.execute("SELECT 1") + result = cursor.fetchall() + cursor.close() + # Do not close conn here, let get_databricks_connection manage it + if result and result[0][0] == 1: + results.append("✅ Successfully connected and queried SQL warehouse.") + sql_ok = True + else: + results.append("❌ Connected to SQL warehouse, but test query failed.") + except db_exc.Error as db_error: + results.append(f"❌ SQL Connection/Query Failed: {str(db_error)}") + except ValueError as e: # From get_databricks_connection internal checks + results.append(f"❌ SQL Configuration Error: {str(e)}") + # Let decorator handle other unexpected errors + else: + results.append("⚪ Skipped (due to environment variable issues).") + + # 4. Summary + results.append("\n### Summary") + results.append(f"- Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") + results.append(f"- Databricks API: {'✅ OK' if api_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") + results.append(f"- Databricks SQL: {'✅ OK' if sql_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") + + if env_ok and api_ok and sql_ok: + results.append("\n✅ All connection tests passed!") + else: + results.append("\n❌ One or more connection tests failed.") + + return "\n".join(results) + DATABRICKS_HOST + + +if __name__ == "__main__": + test_databricks_connections() + logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') + mcp.run() diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server.py new file mode 100644 index 0000000..9afd20c --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server.py @@ -0,0 +1,61 @@ +import logging +import collections + +from mcp.server import NotificationOptions, Server +from mcp.server.stdio import stdio_server +from mcp.types import Tool as ToolSpec + +from developer_tools_mcp.tools import list_all_tools +from developer_tools_mcp.tools.base_tool import BaseTool +from developer_tools_mcp.version import VERSION + +# The logger instance for this module. +LOGGER = logging.getLogger(__name__) + + +def _warn_if_duplicate_tool_names(tools: list[BaseTool]): + tool_names = [tool.tool_spec.name for tool in tools] + duplicate_tool_names = [ + item for item, count in collections.Counter(tool_names).items() if count > 1 + ] + if duplicate_tool_names: + LOGGER.warning( + f"Duplicate tool names detected: {duplicate_tool_names}. " + f"For each duplicate tool name, picking one of the tools with that name." + ) + + +def get_tools_dict() -> dict[str, BaseTool]: + """ + Returns a dictionary of all tools with their names as keys and tool objects as values. + """ + # Collect all tools from different modules + all_tools = list_all_tools() + + # Add additional tools here as they become available + # all_tools.extend(other_module_tools()) + + _warn_if_duplicate_tool_names(all_tools) + return {tool.tool_spec.name: tool for tool in all_tools} + + +async def start() -> None: + server = Server(name="mcp-developer-tools", version=VERSION) + tools_dict = get_tools_dict() + + @server.list_tools() + async def list_tools() -> list[ToolSpec]: + return [tool.tool_spec for tool in tools_dict.values()] + + @server.call_tool() + async def call_tool(name: str, arguments: dict) -> list: + tool = tools_dict[name] + return tool.execute(**arguments) + + options = server.create_initialization_options( + notification_options=NotificationOptions( + resources_changed=True, tools_changed=True + ) + ) + async with stdio_server() as (read_stream, write_stream): + await server.run(read_stream, write_stream, options, raise_exceptions=True) \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/test_connection.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/test_connection.py new file mode 100644 index 0000000..5a971ab --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/test_connection.py @@ -0,0 +1,128 @@ +#!/usr/bin/env python +""" +Databricks Connection Test Script +This script tests the connection to Databricks using credentials from the .env file. +It attempts to connect to both the SQL warehouse and the Databricks API. +""" + +import os +from dotenv import load_dotenv +import sys + +# Load environment variables +load_dotenv() + +# Get Databricks credentials from environment variables +DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") +DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") +DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") + +def check_env_vars(): + """Check if all required environment variables are set""" + missing = [] + if not DATABRICKS_HOST: + missing.append("DATABRICKS_HOST") + if not DATABRICKS_TOKEN: + missing.append("DATABRICKS_TOKEN") + if not DATABRICKS_HTTP_PATH: + missing.append("DATABRICKS_HTTP_PATH") + + if missing: + print("❌ Missing required environment variables:") + for var in missing: + print(f" - {var}") + print("\nPlease check your .env file and make sure all required variables are set.") + return False + + print("✅ All required environment variables are set") + return True + +def test_databricks_api(): + """Test connection to Databricks API""" + import requests + + print("\nTesting Databricks API connection...") + + try: + headers = { + "Authorization": f"Bearer {DATABRICKS_TOKEN}", + "Content-Type": "application/json" + } + + url = f"https://{DATABRICKS_HOST}/api/2.0/clusters/list-node-types" + response = requests.get(url, headers=headers) + + if response.status_code == 200: + print("✅ Successfully connected to Databricks API") + return True + else: + print(f"❌ Failed to connect to Databricks API: {response.status_code} - {response.text}") + return False + except Exception as e: + print(f"❌ Error connecting to Databricks API: {str(e)}") + return False + +def test_sql_connection(): + """Test connection to Databricks SQL warehouse""" + print("\nTesting Databricks SQL warehouse connection...") + + try: + from databricks.sql import connect + + conn = connect( + server_hostname=DATABRICKS_HOST, + http_path=DATABRICKS_HTTP_PATH, + access_token=DATABRICKS_TOKEN + ) + + cursor = conn.cursor() + cursor.execute("SELECT 1 AS test") + result = cursor.fetchall() + + if result and result[0][0] == 1: + print("✅ Successfully connected to Databricks SQL warehouse") + conn.close() + return True + else: + print("❌ Failed to get expected result from SQL warehouse") + conn.close() + return False + except Exception as e: + print(f"❌ Error connecting to Databricks SQL warehouse: {str(e)}") + return False + +if __name__ == "__main__": + print("Databricks Connection Test") + print("=========================\n") + + # Check for dependencies + try: + import requests + from databricks.sql import connect + except ImportError as e: + print(f"❌ Missing dependency: {str(e)}") + print("Please run: pip install -r requirements.txt") + sys.exit(1) + + # Run tests + env_ok = check_env_vars() + + if not env_ok: + sys.exit(1) + + api_ok = test_databricks_api() + sql_ok = test_sql_connection() + + # Summary + print("\nTest Summary") + print("===========") + print(f"Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") + print(f"Databricks API: {'✅ OK' if api_ok else '❌ Failed'}") + print(f"Databricks SQL: {'✅ OK' if sql_ok else '❌ Failed'}") + + if env_ok and api_ok and sql_ok: + print("\n✅ All tests passed! Your Databricks MCP server should work correctly.") + sys.exit(0) + else: + print("\n❌ Some tests failed. Please check the errors above and fix your configuration.") + sys.exit(1) \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py new file mode 100644 index 0000000..aef47d6 --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py @@ -0,0 +1,20 @@ +from typing import TypeAlias, Union +from mcp.types import ( + TextContent, + ImageContent, + EmbeddedResource, +) + +from developer_tools_mcp.tools.jobs import list_jobs_tool +from developer_tools_mcp.tools.test_connection import test_connection_tool +from developer_tools_mcp.tools.sql_query import sql_query_tool + +Content: TypeAlias = Union[TextContent, ImageContent, EmbeddedResource] + + +def list_all_tools(): + tools = [] + tools.extend(list_jobs_tool()) + tools.extend(test_connection_tool()) + tools.extend(sql_query_tool()) + return tools \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py new file mode 100644 index 0000000..2603d9c --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py @@ -0,0 +1,13 @@ +from mcp.types import Tool as ToolSpec + +# Define a new abstract class for a tool +from abc import ABC, abstractmethod + + +class BaseTool(ABC): + def __init__(self, tool_spec: ToolSpec): + self.tool_spec = tool_spec + + @abstractmethod + def execute(self, **kwargs): + pass \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py new file mode 100644 index 0000000..ce37ac0 --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py @@ -0,0 +1,84 @@ +import os +import functools +import time +import json +import logging +from typing import Union +from pydantic import BaseModel, Field +from pydantic.json import pydantic_encoder + +from databricks.sdk import WorkspaceClient +from databricks.sdk.service import jobs +from mcp.types import TextContent, Tool as ToolSpec + +from developer_tools_mcp.tools.base_tool import BaseTool + +# Logger +LOGGER = logging.getLogger(__name__) + +# --- Input Schemas --- + +class ListJobsInput(BaseModel): + pass + + +class GetJobInput(BaseModel): + job_id: int + +# --- Tool Implementations --- + +def _list_jobs(client, args) -> list[TextContent]: + model = ListJobsInput.model_validate(args) + + jobs = client.jobs.list() + # iterator to json + jobs_json = [job.as_dict() for job in jobs] + return [ + TextContent( + type="text", + text=json.dumps(jobs_json), + ) + ] + +def _get_job(client, args) -> list[TextContent]: + model = GetJobInput.model_validate(args) + job = client.jobs.get(model.job_id) + + return [ + TextContent( + type="text", + text=json.dumps(job.as_dict()), + ) + ] + +# --- Tool Registry --- + +class JobsTool(BaseTool): + def __init__(self, name, description, input_schema, func): + self.func = func + tool_spec = ToolSpec( + name=name, + description=description, + inputSchema=input_schema, + ) + super().__init__(tool_spec) + + def execute(self, **kwargs): + return self.func(client=WorkspaceClient( + host=os.getenv("DATABRICKS_HOST"), + token=os.getenv("DATABRICKS_TOKEN") + ), args=kwargs) + +def list_jobs_tool() -> list[JobsTool]: + return [JobsTool( + name="list_jobs", + description="List all jobs in the workspace.", + input_schema=ListJobsInput.model_json_schema(), + func=_list_jobs, + ), + JobsTool( + name="get_job", + description="Get a job by ID.", + input_schema=GetJobInput.model_json_schema(), + func=_get_job, + )] \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py new file mode 100644 index 0000000..295f1fe --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py @@ -0,0 +1,111 @@ +import os +import json +import logging +from typing import Union +from pydantic import BaseModel, Field +from pydantic.json import pydantic_encoder + +from databricks.sql import connect +from mcp.types import TextContent, Tool as ToolSpec + +from developer_tools_mcp.tools.base_tool import BaseTool + +# Logger +LOGGER = logging.getLogger(__name__) + +# --- Input Schemas --- + +class SqlQueryInput(BaseModel): + query: str = Field(..., description="The SQL query to execute") + + +# --- Tool Implementations --- + +def _run_sql_query(client, args) -> list[TextContent]: + model = SqlQueryInput.model_validate(args) + + try: + # Connect to SQL warehouse + if not all([os.getenv("DATABRICKS_HOST"), os.getenv("DATABRICKS_TOKEN"), os.getenv("DATABRICKS_HTTP_PATH")]): + raise ValueError("Missing required Databricks connection details in environment variables") + + sql_connection = connect( + server_hostname=os.getenv("DATABRICKS_HOST"), + http_path=os.getenv("DATABRICKS_HTTP_PATH"), + access_token=os.getenv("DATABRICKS_TOKEN") + ) + + cursor = sql_connection.cursor() + result = cursor.execute(model.query) + + if result.description: + columns = [col[0] for col in result.description] + rows = result.fetchall() + + if not rows: + cursor.close() + sql_connection.close() + return [ + TextContent( + type="text", + text="Query executed successfully. No results returned." + ) + ] + + # Format as markdown table + table = "| " + " | ".join(columns) + " |\n" + table += "| " + " | ".join(["---" for _ in columns]) + " |\n" + for row in rows: + table += "| " + " | ".join([str(cell) for cell in row]) + " |\n" + + cursor.close() + sql_connection.close() + + return [ + TextContent( + type="text", + text=table + ) + ] + else: + cursor.close() + sql_connection.close() + return [ + TextContent( + type="text", + text="Query executed successfully. No results returned." + ) + ] + + except Exception as e: + LOGGER.error(f"Error executing SQL query: {e}") + return [ + TextContent( + type="text", + text=f"Error executing SQL query: {str(e)}" + ) + ] + + +# --- Tool Registry --- + +class SqlQueryTool(BaseTool): + def __init__(self, name, description, input_schema, func): + self.func = func + tool_spec = ToolSpec( + name=name, + description=description, + inputSchema=input_schema, + ) + super().__init__(tool_spec) + + def execute(self, **kwargs): + return self.func(client=None, args=kwargs) + +def sql_query_tool() -> list[SqlQueryTool]: + return [SqlQueryTool( + name="run_sql_query", + description="Execute SQL queries on Databricks SQL warehouse and return results as a markdown table.", + input_schema=SqlQueryInput.model_json_schema(), + func=_run_sql_query, + )] diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py new file mode 100644 index 0000000..299d4eb --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py @@ -0,0 +1,115 @@ +import os +import json +import logging +import requests +from typing import Union, Dict +from pydantic import BaseModel + +from databricks.sdk import WorkspaceClient +from databricks.sql import connect +from mcp.types import TextContent, Tool as ToolSpec + +from developer_tools_mcp.tools.base_tool import BaseTool + +# Logger +LOGGER = logging.getLogger(__name__) + +# --- Input Schemas --- + +class TestConnectionInput(BaseModel): + pass + +# --- Tool Implementations --- + +def _test_connection(client, args) -> list[TextContent]: + model = TestConnectionInput.model_validate(args) + + results = { + "databricks_api": False, + "sql_warehouse": False, + "host": os.getenv("DATABRICKS_HOST", "Not set"), + "token": os.getenv("DATABRICKS_TOKEN", "Not set"), + "http_path": os.getenv("DATABRICKS_HTTP_PATH", "Not set"), + "details": {} + } + + # Test 1: Databricks API + try: + # Test Databricks API access + me = client.current_user.me() + results["databricks_api"] = True + results["details"]["current_user"] = me.user_name + results["details"]["user_info"] = me.as_dict() + except Exception as e: + LOGGER.error(f"Error connecting to Databricks API: {e}") + results["details"]["api_error"] = str(e) + + # Test 2: Databricks SQL Warehouse + if "Not set" not in [results["host"], results["token"], results["http_path"]]: + try: + # Connect to SQL warehouse and execute a simple query + sql_connection = connect( + server_hostname=os.getenv("DATABRICKS_HOST"), + http_path=os.getenv("DATABRICKS_HTTP_PATH"), + access_token=os.getenv("DATABRICKS_TOKEN"), + _socket_timeout=10 #TODO: This is not actually timing out the connection + ) + cursor = sql_connection.cursor() + cursor.execute("SELECT 1 AS test_value") + result = cursor.fetchall() + cursor.close() + sql_connection.close() + + results["sql_warehouse"] = True + results["details"]["sql_test_query"] = "Successfully executed test query: SELECT 1" + results["details"]["sql_result"] = str(result) + + + except Exception as e: + LOGGER.error(f"Error connecting to Databricks SQL Warehouse: {e}") + results["details"]["sql_error"] = str(e) + + # Summarize overall status + if results["databricks_api"]: + if results.get("sql_warehouse", False): + results["status"] = "Success" + results["message"] = "All connections successful" + else: + results["status"] = "Partial Success" + results["message"] = "API connected, but SQL Warehouse connection failed" + else: + results["status"] = "Failed" + results["message"] = "Unable to connect to Databricks" + + return [ + TextContent( + type="text", + text=json.dumps(results), + ) + ] + +# --- Tool Registry --- + +class TestConnectionTool(BaseTool): + def __init__(self, name, description, input_schema, func): + self.func = func + tool_spec = ToolSpec( + name=name, + description=description, + inputSchema=input_schema, + ) + super().__init__(tool_spec) + + def execute(self, **kwargs): + return self.func(client=WorkspaceClient( + host=os.getenv("DATABRICKS_HOST"), + token=os.getenv("DATABRICKS_TOKEN") + ), args=kwargs) + +def test_connection_tool() -> list[TestConnectionTool]: + return [TestConnectionTool( + name="test_connection", + description="Tests Databricks connections (API and SQL Warehouse).", + input_schema=TestConnectionInput.model_json_schema(), + func=_test_connection, + )] \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/version.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/version.py new file mode 100644 index 0000000..ddf219d --- /dev/null +++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/version.py @@ -0,0 +1 @@ +VERSION = "0.1.0" \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/uv.lock b/src/databricks/labs/mcp/servers/developer_tools/uv.lock index 1cf330d..315f781 100644 --- a/src/databricks/labs/mcp/servers/developer_tools/uv.lock +++ b/src/databricks/labs/mcp/servers/developer_tools/uv.lock @@ -32,6 +32,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload_time = "2025-03-17T00:02:52.713Z" }, ] +[[package]] +name = "cachetools" +version = "5.5.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/6c/81/3747dad6b14fa2cf53fcf10548cf5aea6913e96fab41a3c198676f8948a5/cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4", size = 28380, upload_time = "2025-02-20T21:01:19.524Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/72/76/20fa66124dbe6be5cafeb312ece67de6b61dd91a0247d1ea13db4ebb33c2/cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a", size = 10080, upload_time = "2025-02-20T21:01:16.647Z" }, +] + [[package]] name = "certifi" version = "2025.1.31" @@ -123,6 +132,19 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload_time = "2022-10-25T02:36:20.889Z" }, ] +[[package]] +name = "databricks-sdk" +version = "0.50.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "google-auth" }, + { name = "requests" }, +] +sdist = { url = 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a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server-old.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server-old.py deleted file mode 100644 index 82bd764..0000000 --- a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server-old.py +++ /dev/null @@ -1,456 +0,0 @@ -import os -from typing import Dict -from dotenv import load_dotenv -from databricks.sql import connect, exc as db_exc # Import Databricks SQL exceptions -from databricks.sql.client import Connection -from mcp.server.fastmcp import FastMCP -import requests -from requests import exceptions as req_exc # Import requests exceptions -import logging -import functools # Import functools for wraps - -# Load environment variables -load_dotenv() - -# Get Databricks credentials from environment variables -DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") -DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") -DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") - -# Set up the MCP server -mcp = FastMCP("Databricks API Explorer") - -# Global variable to hold the Databricks SQL connection -_db_connection: Connection | None = None - -# Error handling decorator for MCP tools -def log_tool_errors(func): - """Decorator to handle common exceptions for MCP tools, log them, and return standardized error messages.""" - @functools.wraps(func) - def wrapper(*args, **kwargs): - tool_name = func.__name__ - try: - # Execute the original tool function - return func(*args, **kwargs) - except ValueError as e: - # Configuration/Input errors (raised by helpers or tool validation) - logging.error(f"Configuration/Input Error in {tool_name}: {e}", exc_info=False) - return f"Configuration/Input Error: {str(e)}" - except db_exc.Error as db_error: - # Databricks SQL specific errors - logging.error(f"Databricks SQL Error in {tool_name}: {db_error}", exc_info=True) - return f"Database Error: {str(db_error)}" - except req_exc.HTTPError as http_err: - # HTTP errors from API requests - status_code = http_err.response.status_code - reason = http_err.response.reason - # Note: Specific status code handling (like 404) should be done within the tool function - # if a custom message is needed, before this general handler catches it. - logging.error(f"API Request Failed in {tool_name}: {status_code} {reason} - Response: {http_err.response.text}", exc_info=False) - return f"API Request Failed: {status_code} {reason}" - except req_exc.RequestException as req_err: - # Other requests errors (connection, timeout, etc.) - logging.error(f"API Connection/Request Error in {tool_name}: {req_err}", exc_info=True) - return f"API Connection/Request Error: {str(req_err)}" - except (KeyError, TypeError, AttributeError, IndexError) as data_err: # Added IndexError for safety - # Errors processing data (e.g., API responses) - logging.error(f"Error processing data in {tool_name}: {data_err}", exc_info=True) - return f"Error processing data: {str(data_err)}" - except Exception as e: - # Catch-all for unexpected errors - logging.error(f"Unexpected Error in {tool_name}: {e}", exc_info=True) - return f"An unexpected error occurred: {str(e)}" - return wrapper - -# Helper function to get a reusable Databricks SQL connection -def get_databricks_connection() -> Connection: - """Create and return a reusable Databricks SQL connection.""" - global _db_connection - - # Check if connection exists and is open - if _db_connection is not None: - try: - # TODO: Easier way to check if the connection is still valid? - cursor = _db_connection.cursor() - cursor.execute("SELECT 1") - cursor.close() - logging.info("Reusing existing Databricks SQL connection.") - return _db_connection - except db_exc.Error as db_error: - logging.warning(f"Existing connection seems invalid (DB Error: {db_error}), creating a new one.") - try: - if _db_connection: - _db_connection.close() - except db_exc.Error: - pass - except Exception as close_exc: - logging.error(f"Unexpected error closing potentially broken DB connection: {close_exc}") - _db_connection = None - except Exception as e: - logging.warning(f"Unexpected error checking connection liveness ({e}), creating a new one.") - _db_connection = None - - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN, DATABRICKS_HTTP_PATH]): - # This case is critical configuration error, raising is appropriate - raise ValueError("Missing required Databricks connection details in .env file") - - try: - logging.info("Creating new Databricks SQL connection.") - _db_connection = connect( - server_hostname=DATABRICKS_HOST, - http_path=DATABRICKS_HTTP_PATH, - access_token=DATABRICKS_TOKEN - ) - return _db_connection - except db_exc.Error as db_connect_error: - logging.error(f"Failed to connect to Databricks SQL Warehouse: {db_connect_error}") - raise - except Exception as connect_exc: - logging.error(f"Unexpected error creating Databricks SQL connection: {connect_exc}") - raise - -# Helper function for Databricks REST API requests -def databricks_api_request(endpoint: str, method: str = "GET", data: Dict = None) -> Dict: - """Make a request to the Databricks REST API, handling common errors.""" - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): - # This case is critical configuration error, raising is appropriate - raise ValueError("Missing required Databricks API credentials in .env file") - - headers = { - "Authorization": f"Bearer {DATABRICKS_TOKEN}", - "Content-Type": "application/json" - } - - url = f"https://{DATABRICKS_HOST}/api/2.0/{endpoint}" - - try: - if method.upper() == "GET": - response = requests.get(url, headers=headers) - elif method.upper() == "POST": - response = requests.post(url, headers=headers, json=data) - else: - # Internal programming error - raise ValueError(f"Unsupported HTTP method: {method}") - - response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx) - return response.json() - - except req_exc.HTTPError as http_err: - logging.error(f"HTTP error occurred: {http_err} - Response: {http_err.response.text}") - raise - except req_exc.ConnectionError as conn_err: - logging.error(f"Connection error occurred: {conn_err}") - raise - except req_exc.Timeout as timeout_err: - logging.error(f"Request timed out: {timeout_err}") - raise - except req_exc.RequestException as req_err: - logging.error(f"An error occurred during the API request: {req_err}") - raise - except ValueError as val_err: - logging.error(f"API Request internal error: {val_err}") - raise - -@mcp.resource("schema://tables") -@log_tool_errors -def get_schema() -> str: - """Provide the list of tables in the Databricks SQL warehouse as a resource""" - # The decorator will handle exceptions - conn = get_databricks_connection() # Use the shared connection - cursor = conn.cursor() - tables = cursor.tables().fetchall() - - table_info = [] - for table in tables: - table_info.append(f"Database: {table.TABLE_CAT}, Schema: {table.TABLE_SCHEM}, Table: {table.TABLE_NAME}") - - cursor.close() - return "\n".join(table_info) - -@mcp.tool() -@log_tool_errors -def run_sql_query(sql: str) -> str: - """Execute SQL queries on Databricks SQL warehouse""" - # The decorator will handle exceptions - conn = get_databricks_connection() # Use the shared connection - cursor = conn.cursor() - result = cursor.execute(sql) - - if result.description: - columns = [col[0] for col in result.description] - rows = result.fetchall() - cursor.close() - - if not rows: - return "Query executed successfully. No results returned." - - # Format as markdown table - # Keep internal try/except for formatting issues, but let others bubble up - try: - table = "| " + " | ".join(columns) + " |\n" - table += "| " + " | ".join(["---" for _ in columns]) + " |\n" - for row in rows: - table += "| " + " | ".join([str(cell) for cell in row]) + " |\n" - return table - except Exception as format_exc: - logging.error(f"Error formatting SQL results: {format_exc}", exc_info=True) - # Return a specific error for formatting, not the generic one from the decorator - return f"Error formatting results: {str(format_exc)}" - else: - cursor.close() - return "Query executed successfully. No results returned." - -@mcp.tool() -@log_tool_errors -def list_jobs() -> str: - """List all Databricks jobs""" - # The decorator will handle exceptions - response = databricks_api_request("jobs/list") - - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for list_jobs: {type(response)}") - # Raise an error for the decorator to catch with a standard message - raise TypeError("Received unexpected API response format.") - - jobs = response.get("jobs") - if jobs is None: - if "error_code" in response: - logging.error(f"API error in list_jobs response: {response}") - # Let the decorator handle this as likely an API/Request error or data error - # depending on what databricks_api_request raised or if it succeeded but gave error payload - raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") - else: - return "No jobs found." - if not isinstance(jobs, list): - logging.error(f"Unexpected 'jobs' format in list_jobs response: {type(jobs)}") - raise TypeError("Received unexpected API response format for jobs list.") - - # Format as markdown table - table_rows = ["| Job ID | Job Name | Created By |", "| ------ | -------- | ---------- |"] - for job in jobs: - if not isinstance(job, dict): - logging.warning(f"Skipping invalid job item in list_jobs: {job}") - continue - job_id = job.get("job_id", "N/A") - job_name = job.get("settings", {}).get("name", "N/A") - creator = job.get("creator_user_name", "N/A") - - table_rows.append(f"| {job_id} | {job_name} | {creator} |") - - return "\n".join(table_rows) - -@mcp.tool() -@log_tool_errors -def get_job_status(job_id: int) -> str: - """Get the status of a specific Databricks job""" - # The decorator will handle general exceptions - - # Add basic input validation (can raise ValueError handled by decorator) - if not isinstance(job_id, int) or job_id <= 0: - raise ValueError("Invalid Job ID provided.") - - response = databricks_api_request("jobs/runs/list", data={"job_id": job_id}) - - # Error handling for unexpected API response structure (raise for decorator) - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for get_job_status: {type(response)}") - raise TypeError("Received unexpected API response format.") - - runs = response.get("runs") - if runs is None: - if "error_code" in response: - logging.error(f"API error in get_job_status response: {response}") - raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") - else: - return f"No runs found for job ID {job_id}." - if not isinstance(runs, list): - logging.error(f"Unexpected 'runs' format in get_job_status response: {type(runs)}") - raise TypeError("Received unexpected API response format for runs list.") - - if not runs: # Check if list is empty after verifying it's a list - return f"No runs found for job ID {job_id}." - - # Format as markdown table - import datetime # Import moved inside for scope - table_rows = ["| Run ID | State | Start Time | End Time | Duration |", "| ------ | ----- | ---------- | -------- | -------- |"] - - for run in runs: - if not isinstance(run, dict): - logging.warning(f"Skipping invalid run item in get_job_status: {run}") - continue - - run_id = run.get("run_id", "N/A") - # Safer access to nested state - state_info = run.get("state", {}) - state = state_info.get("life_cycle_state", "N/A") # life_cycle_state is often more useful - result_state = state_info.get("result_state") - if result_state: - state += f" ({result_state})" - - start_time = run.get("start_time") - end_time = run.get("end_time") - duration_ms = run.get("execution_duration") # Use execution_duration if available - - duration = "N/A" - if duration_ms is not None and duration_ms > 0: - duration = f"{duration_ms / 1000:.2f}s" - elif start_time and end_time: - # Fallback calculation if execution_duration missing - duration = f"{(end_time - start_time) / 1000:.2f}s" - - start_time_str = datetime.datetime.fromtimestamp(start_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if start_time else "N/A" - end_time_str = datetime.datetime.fromtimestamp(end_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if end_time else "N/A" - - table_rows.append(f"| {run_id} | {state} | {start_time_str} | {end_time_str} | {duration} |") - - return "\n".join(table_rows) - -@mcp.tool() -@log_tool_errors -def get_job_details(job_id: int) -> str: - """Get detailed information about a specific Databricks job""" - # Decorator handles most exceptions - - # Basic input validation (raises ValueError handled by decorator) - if not isinstance(job_id, int) or job_id <= 0: - raise ValueError("Invalid Job ID provided.") - - try: - response = databricks_api_request(f"jobs/get?job_id={job_id}", method="GET") - except req_exc.HTTPError as http_err: - # Specifically check for 404 for job not found before decorator - if http_err.response.status_code == 404: - logging.warning(f"Job ID {job_id} not found (404) in get_job_details.") # Log warning - return f"Error: Job ID {job_id} not found." # Return specific message - else: - raise # Re-raise other HTTP errors for the decorator to handle - - # Error handling for unexpected API response structure (raise for decorator) - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for get_job_details: {type(response)}") - raise TypeError("Received unexpected API response format.") - - # Safer access using .get() - settings = response.get("settings", {}) - job_name = settings.get("name", "N/A") - created_time = response.get("created_time") - creator_user_name = response.get('creator_user_name', 'N/A') - tasks = settings.get("tasks", []) - - # Convert timestamp to readable format - import datetime # Import moved inside for scope - created_time_str = datetime.datetime.fromtimestamp(created_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if created_time else "N/A" - - result_lines = [f"## Job Details: {job_name}\n"] - result_lines.append(f"- **Job ID:** {job_id}") - result_lines.append(f"- **Created:** {created_time_str}") - result_lines.append(f"- **Creator:** {creator_user_name}\n") - - if isinstance(tasks, list) and tasks: # Check tasks is a non-empty list - result_lines.append("### Tasks:\n") - result_lines.append("| Task Key | Task Type | Description |") - result_lines.append("| -------- | --------- | ----------- |") - - for task in tasks: - if not isinstance(task, dict): - logging.warning(f"Skipping invalid task item in get_job_details: {task}") - continue - - task_key = task.get("task_key", "N/A") - # Simplified task type extraction (assuming one _task key) - task_type = next((k.replace('_task', '') for k in task if k.endswith('_task')), "N/A") - description = task.get("description", "N/A") - - result_lines.append(f"| {task_key} | {task_type} | {description} |") - else: - result_lines.append("No tasks defined for this job.") - - return "\n".join(result_lines) - -@mcp.tool() -@log_tool_errors # Apply decorator for fallback error handling -def test_databricks_connections() -> str: - """Tests connections to Databricks API and SQL Warehouse using configured credentials.""" - results = [] - env_ok = True - api_ok = False - sql_ok = False - - # 1. Check Environment Variables (implicitly by trying to use helpers) - results.append("### Environment Variable Check") - try: - # Check if critical vars are present (databricks_api_request checks HOST/TOKEN) - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): - raise ValueError("DATABRICKS_HOST or DATABRICKS_TOKEN missing") - # Check if SQL vars are present (get_databricks_connection checks all three) - if not DATABRICKS_HTTP_PATH: - raise ValueError("DATABRICKS_HTTP_PATH missing") - # Attempt to get connection which checks all three SQL vars - results.append("✅ Required environment variables seem configured.") - - except ValueError as e: - results.append(f"❌ Failed: {str(e)}") - env_ok = False - except Exception as e: # Catch other potential issues during connection check - results.append(f"❌ Unexpected error checking environment/connection init: {str(e)}") - env_ok = False - - # 2. Test Databricks API Connection (only if env vars seem okay) - results.append("\n### Databricks API Test") - if env_ok: - try: - # Use a simple, common API endpoint - databricks_api_request("clusters/list-node-types") - results.append("✅ Successfully connected to Databricks API.") - api_ok = True - except req_exc.HTTPError as http_err: - results.append(f"❌ API Connection Failed: {http_err.response.status_code} {http_err.response.reason}") - except req_exc.RequestException as req_err: - results.append(f"❌ API Connection Error: {str(req_err)}") - except ValueError as e: # From databricks_api_request internal checks - results.append(f"❌ API Configuration Error: {str(e)}") - # Let decorator handle other unexpected errors - else: - results.append("⚪ Skipped (due to environment variable issues).") - - # 3. Test Databricks SQL Warehouse Connection (only if env vars seem okay) - results.append("\n### Databricks SQL Warehouse Test") - if env_ok: - try: - conn = get_databricks_connection() # Re-establish connection - cursor = conn.cursor() - cursor.execute("SELECT 1") - result = cursor.fetchall() - cursor.close() - # Do not close conn here, let get_databricks_connection manage it - if result and result[0][0] == 1: - results.append("✅ Successfully connected and queried SQL warehouse.") - sql_ok = True - else: - results.append("❌ Connected to SQL warehouse, but test query failed.") - except db_exc.Error as db_error: - results.append(f"❌ SQL Connection/Query Failed: {str(db_error)}") - except ValueError as e: # From get_databricks_connection internal checks - results.append(f"❌ SQL Configuration Error: {str(e)}") - # Let decorator handle other unexpected errors - else: - results.append("⚪ Skipped (due to environment variable issues).") - - # 4. Summary - results.append("\n### Summary") - results.append(f"- Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") - results.append(f"- Databricks API: {'✅ OK' if api_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") - results.append(f"- Databricks SQL: {'✅ OK' if sql_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") - - if env_ok and api_ok and sql_ok: - results.append("\n✅ All connection tests passed!") - else: - results.append("\n❌ One or more connection tests failed.") - - return "\n".join(results) + DATABRICKS_HOST - - -if __name__ == "__main__": - test_databricks_connections() - logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') - mcp.run() From 53af81f91c0a69e2834c0fd4d499e954b2926987 Mon Sep 17 00:00:00 2001 From: JordiNeil Date: Sat, 26 Apr 2025 19:18:07 -0500 Subject: [PATCH 20/21] remove old test connection --- .../developer_tools_mcp/test_connection.py | 128 ------------------ 1 file changed, 128 deletions(-) delete mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/test_connection.py diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/test_connection.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/test_connection.py deleted file mode 100644 index 5a971ab..0000000 --- a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/test_connection.py +++ /dev/null @@ -1,128 +0,0 @@ -#!/usr/bin/env python -""" -Databricks Connection Test Script -This script tests the connection to Databricks using credentials from the .env file. -It attempts to connect to both the SQL warehouse and the Databricks API. -""" - -import os -from dotenv import load_dotenv -import sys - -# Load environment variables -load_dotenv() - -# Get Databricks credentials from environment variables -DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") -DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") -DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") - -def check_env_vars(): - """Check if all required environment variables are set""" - missing = [] - if not DATABRICKS_HOST: - missing.append("DATABRICKS_HOST") - if not DATABRICKS_TOKEN: - missing.append("DATABRICKS_TOKEN") - if not DATABRICKS_HTTP_PATH: - missing.append("DATABRICKS_HTTP_PATH") - - if missing: - print("❌ Missing required environment variables:") - for var in missing: - print(f" - {var}") - print("\nPlease check your .env file and make sure all required variables are set.") - return False - - print("✅ All required environment variables are set") - return True - -def test_databricks_api(): - """Test connection to Databricks API""" - import requests - - print("\nTesting Databricks API connection...") - - try: - headers = { - "Authorization": f"Bearer {DATABRICKS_TOKEN}", - "Content-Type": "application/json" - } - - url = f"https://{DATABRICKS_HOST}/api/2.0/clusters/list-node-types" - response = requests.get(url, headers=headers) - - if response.status_code == 200: - print("✅ Successfully connected to Databricks API") - return True - else: - print(f"❌ Failed to connect to Databricks API: {response.status_code} - {response.text}") - return False - except Exception as e: - print(f"❌ Error connecting to Databricks API: {str(e)}") - return False - -def test_sql_connection(): - """Test connection to Databricks SQL warehouse""" - print("\nTesting Databricks SQL warehouse connection...") - - try: - from databricks.sql import connect - - conn = connect( - server_hostname=DATABRICKS_HOST, - http_path=DATABRICKS_HTTP_PATH, - access_token=DATABRICKS_TOKEN - ) - - cursor = conn.cursor() - cursor.execute("SELECT 1 AS test") - result = cursor.fetchall() - - if result and result[0][0] == 1: - print("✅ Successfully connected to Databricks SQL warehouse") - conn.close() - return True - else: - print("❌ Failed to get expected result from SQL warehouse") - conn.close() - return False - except Exception as e: - print(f"❌ Error connecting to Databricks SQL warehouse: {str(e)}") - return False - -if __name__ == "__main__": - print("Databricks Connection Test") - print("=========================\n") - - # Check for dependencies - try: - import requests - from databricks.sql import connect - except ImportError as e: - print(f"❌ Missing dependency: {str(e)}") - print("Please run: pip install -r requirements.txt") - sys.exit(1) - - # Run tests - env_ok = check_env_vars() - - if not env_ok: - sys.exit(1) - - api_ok = test_databricks_api() - sql_ok = test_sql_connection() - - # Summary - print("\nTest Summary") - print("===========") - print(f"Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") - print(f"Databricks API: {'✅ OK' if api_ok else '❌ Failed'}") - print(f"Databricks SQL: {'✅ OK' if sql_ok else '❌ Failed'}") - - if env_ok and api_ok and sql_ok: - print("\n✅ All tests passed! Your Databricks MCP server should work correctly.") - sys.exit(0) - else: - print("\n❌ Some tests failed. Please check the errors above and fix your configuration.") - sys.exit(1) \ No newline at end of file From 184760ca823ceeffc65b32b9e96ef52143c41986 Mon Sep 17 00:00:00 2001 From: JordiNeil Date: Sat, 3 May 2025 13:20:05 -0500 Subject: [PATCH 21/21] Refactor structure --- .../servers/developer_tools/pyproject.toml | 3 +- .../servers/developer_tools/src/Dockerfile | 26 - .../developer_tools/src/requirements.txt | 6 - .../mcp/servers/developer_tools/src/server.py | 460 ------------------ .../developer_tools/src/test_connection.py | 128 ----- .../labs/mcp/servers/developer_tools/uv.lock | 55 +++ 6 files changed, 57 insertions(+), 621 deletions(-) delete mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/Dockerfile delete mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/requirements.txt delete mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/server.py delete mode 100644 src/databricks/labs/mcp/servers/developer_tools/src/test_connection.py diff --git a/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml b/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml index 58f204c..3428e5d 100644 --- a/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml +++ b/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml @@ -9,7 +9,8 @@ dependencies = [ "databricks-sql-connector>=2.4.0", "requests>=2.31.0", "packaging>=23.0", - "databricks-sdk" + "databricks-sdk", + "pyarrow" ] [project.scripts] diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/Dockerfile b/src/databricks/labs/mcp/servers/developer_tools/src/Dockerfile deleted file mode 100644 index 9d5f5cf..0000000 --- a/src/databricks/labs/mcp/servers/developer_tools/src/Dockerfile +++ /dev/null @@ -1,26 +0,0 @@ -FROM python:3.10-slim - -# Set the working directory in the container -WORKDIR /app - -# Copy requirements first to leverage Docker cache -COPY requirements.txt . - -# Install dependencies -RUN pip install --no-cache-dir -r requirements.txt - - -# Copy the rest of the application code into the container at /app -COPY . . - -# Make port 8000 available to the world outside this container -# (MCP servers typically run on port 8000 by default) -EXPOSE 8000 - -# Define environment variables (these will be overridden by docker run -e flags) -ENV DATABRICKS_HOST="" -ENV DATABRICKS_TOKEN="" -ENV DATABRICKS_HTTP_PATH="" - -# Run main.py when the container launches -CMD ["python", "server.py"] \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/requirements.txt b/src/databricks/labs/mcp/servers/developer_tools/src/requirements.txt deleted file mode 100644 index d1f0931..0000000 --- a/src/databricks/labs/mcp/servers/developer_tools/src/requirements.txt +++ /dev/null @@ -1,6 +0,0 @@ -databricks-sql-connector>=2.4.0 -pydantic>=2.0.0 -mcp>=0.1.0 -pyarrow>=14.0.1 -requests>=2.31.0 -packaging>=23.0 \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/server.py b/src/databricks/labs/mcp/servers/developer_tools/src/server.py deleted file mode 100644 index bb5bfb2..0000000 --- a/src/databricks/labs/mcp/servers/developer_tools/src/server.py +++ /dev/null @@ -1,460 +0,0 @@ -import os -from typing import Dict -from dotenv import load_dotenv -from databricks.sql import connect, exc as db_exc # Import Databricks SQL exceptions -from databricks.sql.client import Connection -from mcp.server.fastmcp import FastMCP -import requests -from requests import exceptions as req_exc # Import requests exceptions -import logging -import functools # Import functools for wraps - -# Load environment variables -load_dotenv() - -# Get Databricks credentials from environment variables -DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") -DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") -DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") - -# Set up the MCP server -mcp = FastMCP("Databricks API Explorer") - -# Global variable to hold the Databricks SQL connection -_db_connection: Connection | None = None - -# Error handling decorator for MCP tools -def log_tool_errors(func): - """Decorator to handle common exceptions for MCP tools, log them, and return standardized error messages.""" - @functools.wraps(func) - def wrapper(*args, **kwargs): - tool_name = func.__name__ - try: - # Execute the original tool function - return func(*args, **kwargs) - except ValueError as e: - # Configuration/Input errors (raised by helpers or tool validation) - logging.error(f"Configuration/Input Error in {tool_name}: {e}", exc_info=False) - return f"Configuration/Input Error: {str(e)}" - except db_exc.Error as db_error: - # Databricks SQL specific errors - logging.error(f"Databricks SQL Error in {tool_name}: {db_error}", exc_info=True) - return f"Database Error: {str(db_error)}" - except req_exc.HTTPError as http_err: - # HTTP errors from API requests - status_code = http_err.response.status_code - reason = http_err.response.reason - # Note: Specific status code handling (like 404) should be done within the tool function - # if a custom message is needed, before this general handler catches it. - logging.error(f"API Request Failed in {tool_name}: {status_code} {reason} - Response: {http_err.response.text}", exc_info=False) - return f"API Request Failed: {status_code} {reason}" - except req_exc.RequestException as req_err: - # Other requests errors (connection, timeout, etc.) - logging.error(f"API Connection/Request Error in {tool_name}: {req_err}", exc_info=True) - return f"API Connection/Request Error: {str(req_err)}" - except (KeyError, TypeError, AttributeError, IndexError) as data_err: # Added IndexError for safety - # Errors processing data (e.g., API responses) - logging.error(f"Error processing data in {tool_name}: {data_err}", exc_info=True) - return f"Error processing data: {str(data_err)}" - except Exception as e: - # Catch-all for unexpected errors - logging.error(f"Unexpected Error in {tool_name}: {e}", exc_info=True) - return f"An unexpected error occurred: {str(e)}" - return wrapper - -# Helper function to get a reusable Databricks SQL connection -def get_databricks_connection() -> Connection: - """Create and return a reusable Databricks SQL connection.""" - global _db_connection - - # Check if connection exists and is open - if _db_connection is not None: - try: - # TODO: Easier way to check if the connection is still valid? - cursor = _db_connection.cursor() - cursor.execute("SELECT 1") - cursor.close() - logging.info("Reusing existing Databricks SQL connection.") - return _db_connection - except db_exc.Error as db_error: - logging.warning(f"Existing connection seems invalid (DB Error: {db_error}), creating a new one.") - try: - if _db_connection: - _db_connection.close() - except db_exc.Error: - pass - except Exception as close_exc: - logging.error(f"Unexpected error closing potentially broken DB connection: {close_exc}") - _db_connection = None - except Exception as e: - logging.warning(f"Unexpected error checking connection liveness ({e}), creating a new one.") - _db_connection = None - - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN, DATABRICKS_HTTP_PATH]): - # This case is critical configuration error, raising is appropriate - raise ValueError("Missing required Databricks connection details in .env file") - - try: - logging.info("Creating new Databricks SQL connection.") - _db_connection = connect( - server_hostname=DATABRICKS_HOST, - http_path=DATABRICKS_HTTP_PATH, - access_token=DATABRICKS_TOKEN - ) - return _db_connection - except db_exc.Error as db_connect_error: - logging.error(f"Failed to connect to Databricks SQL Warehouse: {db_connect_error}") - raise - except Exception as connect_exc: - logging.error(f"Unexpected error creating Databricks SQL connection: {connect_exc}") - raise - -# Helper function for Databricks REST API requests -def databricks_api_request(endpoint: str, method: str = "GET", data: Dict = None) -> Dict: - """Make a request to the Databricks REST API, handling common errors.""" - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): - # This case is critical configuration error, raising is appropriate - raise ValueError("Missing required Databricks API credentials in .env file") - - headers = { - "Authorization": f"Bearer {DATABRICKS_TOKEN}", - "Content-Type": "application/json" - } - - url = f"https://{DATABRICKS_HOST}/api/2.0/{endpoint}" - - try: - if method.upper() == "GET": - response = requests.get(url, headers=headers) - elif method.upper() == "POST": - response = requests.post(url, headers=headers, json=data) - else: - # Internal programming error - raise ValueError(f"Unsupported HTTP method: {method}") - - response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx) - return response.json() - - except req_exc.HTTPError as http_err: - logging.error(f"HTTP error occurred: {http_err} - Response: {http_err.response.text}") - raise - except req_exc.ConnectionError as conn_err: - logging.error(f"Connection error occurred: {conn_err}") - raise - except req_exc.Timeout as timeout_err: - logging.error(f"Request timed out: {timeout_err}") - raise - except req_exc.RequestException as req_err: - logging.error(f"An error occurred during the API request: {req_err}") - raise - except ValueError as val_err: - logging.error(f"API Request internal error: {val_err}") - raise - -@mcp.resource("schema://tables") -@log_tool_errors -def get_schema() -> str: - """Provide the list of tables in the Databricks SQL warehouse as a resource""" - # The decorator will handle exceptions - conn = get_databricks_connection() # Use the shared connection - cursor = conn.cursor() - tables = cursor.tables().fetchall() - - table_info = [] - for table in tables: - table_info.append(f"Database: {table.TABLE_CAT}, Schema: {table.TABLE_SCHEM}, Table: {table.TABLE_NAME}") - - cursor.close() - return "\n".join(table_info) - -@mcp.tool() -@log_tool_errors -def run_sql_query(sql: str) -> str: - """Execute SQL queries on Databricks SQL warehouse""" - # The decorator will handle exceptions - conn = get_databricks_connection() # Use the shared connection - cursor = conn.cursor() - result = cursor.execute(sql) - - if result.description: - columns = [col[0] for col in result.description] - rows = result.fetchall() - cursor.close() - - if not rows: - return "Query executed successfully. No results returned." - - # Format as markdown table - # Keep internal try/except for formatting issues, but let others bubble up - try: - table = "| " + " | ".join(columns) + " |\n" - table += "| " + " | ".join(["---" for _ in columns]) + " |\n" - for row in rows: - table += "| " + " | ".join([str(cell) for cell in row]) + " |\n" - return table - except Exception as format_exc: - logging.error(f"Error formatting SQL results: {format_exc}", exc_info=True) - # Return a specific error for formatting, not the generic one from the decorator - return f"Error formatting results: {str(format_exc)}" - else: - cursor.close() - return "Query executed successfully. No results returned." - -@mcp.tool() -@log_tool_errors -def list_jobs() -> str: - """List all Databricks jobs""" - # The decorator will handle exceptions - response = databricks_api_request("jobs/list") - - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for list_jobs: {type(response)}") - # Raise an error for the decorator to catch with a standard message - raise TypeError("Received unexpected API response format.") - - jobs = response.get("jobs") - if jobs is None: - if "error_code" in response: - logging.error(f"API error in list_jobs response: {response}") - # Let the decorator handle this as likely an API/Request error or data error - # depending on what databricks_api_request raised or if it succeeded but gave error payload - raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") - else: - return "No jobs found." - if not isinstance(jobs, list): - logging.error(f"Unexpected 'jobs' format in list_jobs response: {type(jobs)}") - raise TypeError("Received unexpected API response format for jobs list.") - - # Format as markdown table - table_rows = ["| Job ID | Job Name | Created By |", "| ------ | -------- | ---------- |"] - for job in jobs: - if not isinstance(job, dict): - logging.warning(f"Skipping invalid job item in list_jobs: {job}") - continue - job_id = job.get("job_id", "N/A") - job_name = job.get("settings", {}).get("name", "N/A") - creator = job.get("creator_user_name", "N/A") - - table_rows.append(f"| {job_id} | {job_name} | {creator} |") - - return "\n".join(table_rows) - -@mcp.tool() -@log_tool_errors -def get_job_status(job_id: int) -> str: - """Get the status of a specific Databricks job""" - # The decorator will handle general exceptions - - # Add basic input validation (can raise ValueError handled by decorator) - if not isinstance(job_id, int) or job_id <= 0: - raise ValueError("Invalid Job ID provided.") - - response = databricks_api_request("jobs/runs/list", data={"job_id": job_id}) - - # Error handling for unexpected API response structure (raise for decorator) - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for get_job_status: {type(response)}") - raise TypeError("Received unexpected API response format.") - - runs = response.get("runs") - if runs is None: - if "error_code" in response: - logging.error(f"API error in get_job_status response: {response}") - raise ValueError(f"API Error: {response.get('message', 'Unknown error')}") - else: - return f"No runs found for job ID {job_id}." - if not isinstance(runs, list): - logging.error(f"Unexpected 'runs' format in get_job_status response: {type(runs)}") - raise TypeError("Received unexpected API response format for runs list.") - - if not runs: # Check if list is empty after verifying it's a list - return f"No runs found for job ID {job_id}." - - # Format as markdown table - import datetime # Import moved inside for scope - table_rows = ["| Run ID | State | Start Time | End Time | Duration |", "| ------ | ----- | ---------- | -------- | -------- |"] - - for run in runs: - if not isinstance(run, dict): - logging.warning(f"Skipping invalid run item in get_job_status: {run}") - continue - - run_id = run.get("run_id", "N/A") - # Safer access to nested state - state_info = run.get("state", {}) - state = state_info.get("life_cycle_state", "N/A") # life_cycle_state is often more useful - result_state = state_info.get("result_state") - if result_state: - state += f" ({result_state})" - - start_time = run.get("start_time") - end_time = run.get("end_time") - duration_ms = run.get("execution_duration") # Use execution_duration if available - - duration = "N/A" - if duration_ms is not None and duration_ms > 0: - duration = f"{duration_ms / 1000:.2f}s" - elif start_time and end_time: - # Fallback calculation if execution_duration missing - duration = f"{(end_time - start_time) / 1000:.2f}s" - - start_time_str = datetime.datetime.fromtimestamp(start_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if start_time else "N/A" - end_time_str = datetime.datetime.fromtimestamp(end_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if end_time else "N/A" - - table_rows.append(f"| {run_id} | {state} | {start_time_str} | {end_time_str} | {duration} |") - - return "\n".join(table_rows) - -@mcp.tool() -@log_tool_errors -def get_job_details(job_id: int) -> str: - """Get detailed information about a specific Databricks job""" - # Decorator handles most exceptions - - # Basic input validation (raises ValueError handled by decorator) - if not isinstance(job_id, int) or job_id <= 0: - raise ValueError("Invalid Job ID provided.") - - try: - response = databricks_api_request(f"jobs/get?job_id={job_id}", method="GET") - except req_exc.HTTPError as http_err: - # Specifically check for 404 for job not found before decorator - if http_err.response.status_code == 404: - logging.warning(f"Job ID {job_id} not found (404) in get_job_details.") # Log warning - return f"Error: Job ID {job_id} not found." # Return specific message - else: - raise # Re-raise other HTTP errors for the decorator to handle - - # Error handling for unexpected API response structure (raise for decorator) - if not isinstance(response, dict): - logging.error(f"Unexpected API response type for get_job_details: {type(response)}") - raise TypeError("Received unexpected API response format.") - - # Safer access using .get() - settings = response.get("settings", {}) - job_name = settings.get("name", "N/A") - created_time = response.get("created_time") - creator_user_name = response.get('creator_user_name', 'N/A') - tasks = settings.get("tasks", []) - - # Convert timestamp to readable format - import datetime # Import moved inside for scope - created_time_str = datetime.datetime.fromtimestamp(created_time / 1000).strftime('%Y-%m-%d %H:%M:%S') if created_time else "N/A" - - result_lines = [f"## Job Details: {job_name}\n"] - result_lines.append(f"- **Job ID:** {job_id}") - result_lines.append(f"- **Created:** {created_time_str}") - result_lines.append(f"- **Creator:** {creator_user_name}\n") - - if isinstance(tasks, list) and tasks: # Check tasks is a non-empty list - result_lines.append("### Tasks:\n") - result_lines.append("| Task Key | Task Type | Description |") - result_lines.append("| -------- | --------- | ----------- |") - - for task in tasks: - if not isinstance(task, dict): - logging.warning(f"Skipping invalid task item in get_job_details: {task}") - continue - - task_key = task.get("task_key", "N/A") - # Simplified task type extraction (assuming one _task key) - task_type = next((k.replace('_task', '') for k in task if k.endswith('_task')), "N/A") - description = task.get("description", "N/A") - - result_lines.append(f"| {task_key} | {task_type} | {description} |") - else: - result_lines.append("No tasks defined for this job.") - - return "\n".join(result_lines) - -@mcp.tool() -@log_tool_errors # Apply decorator for fallback error handling -def test_databricks_connections() -> str: - """Tests connections to Databricks API and SQL Warehouse using configured credentials.""" - results = [] - env_ok = True - api_ok = False - sql_ok = False - - # 1. Check Environment Variables (implicitly by trying to use helpers) - results.append("### Environment Variable Check") - try: - # Check if critical vars are present (databricks_api_request checks HOST/TOKEN) - if not all([DATABRICKS_HOST, DATABRICKS_TOKEN]): - raise ValueError("DATABRICKS_HOST or DATABRICKS_TOKEN missing") - # Check if SQL vars are present (get_databricks_connection checks all three) - if not DATABRICKS_HTTP_PATH: - raise ValueError("DATABRICKS_HTTP_PATH missing") - # Attempt to get connection which checks all three SQL vars - results.append("✅ Required environment variables seem configured.") - - except ValueError as e: - results.append(f"❌ Failed: {str(e)}") - env_ok = False - except Exception as e: # Catch other potential issues during connection check - results.append(f"❌ Unexpected error checking environment/connection init: {str(e)}") - env_ok = False - - # 2. Test Databricks API Connection (only if env vars seem okay) - results.append("\n### Databricks API Test") - if env_ok: - try: - # Use a simple, common API endpoint - databricks_api_request("clusters/list-node-types") - results.append("✅ Successfully connected to Databricks API.") - api_ok = True - except req_exc.HTTPError as http_err: - results.append(f"❌ API Connection Failed: {http_err.response.status_code} {http_err.response.reason}") - except req_exc.RequestException as req_err: - results.append(f"❌ API Connection Error: {str(req_err)}") - except ValueError as e: # From databricks_api_request internal checks - results.append(f"❌ API Configuration Error: {str(e)}") - # Let decorator handle other unexpected errors - else: - results.append("⚪ Skipped (due to environment variable issues).") - - # 3. Test Databricks SQL Warehouse Connection (only if env vars seem okay) - results.append("\n### Databricks SQL Warehouse Test") - if env_ok: - try: - conn = get_databricks_connection() # Re-establish connection - cursor = conn.cursor() - cursor.execute("SELECT 1") - result = cursor.fetchall() - cursor.close() - # Do not close conn here, let get_databricks_connection manage it - if result and result[0][0] == 1: - results.append("✅ Successfully connected and queried SQL warehouse.") - sql_ok = True - else: - results.append("❌ Connected to SQL warehouse, but test query failed.") - except db_exc.Error as db_error: - results.append(f"❌ SQL Connection/Query Failed: {str(db_error)}") - except ValueError as e: # From get_databricks_connection internal checks - results.append(f"❌ SQL Configuration Error: {str(e)}") - # Let decorator handle other unexpected errors - else: - results.append("⚪ Skipped (due to environment variable issues).") - - # 4. Summary - results.append("\n### Summary") - results.append(f"- Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") - results.append(f"- Databricks API: {'✅ OK' if api_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") - results.append(f"- Databricks SQL: {'✅ OK' if sql_ok else ('❌ Failed' if env_ok else '⚪ Skipped')}") - - if env_ok and api_ok and sql_ok: - results.append("\n✅ All connection tests passed!") - else: - results.append("\n❌ One or more connection tests failed.") - - return "\n".join(results) + DATABRICKS_HOST - -def main(): - print("Starting MCP server") - test_databricks_connections() - # Setup basic logging - logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') - mcp.run() - -if __name__ == "__main__": - main() diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/test_connection.py b/src/databricks/labs/mcp/servers/developer_tools/src/test_connection.py deleted file mode 100644 index 5a971ab..0000000 --- a/src/databricks/labs/mcp/servers/developer_tools/src/test_connection.py +++ /dev/null @@ -1,128 +0,0 @@ -#!/usr/bin/env python -""" -Databricks Connection Test Script -This script tests the connection to Databricks using credentials from the .env file. -It attempts to connect to both the SQL warehouse and the Databricks API. -""" - -import os -from dotenv import load_dotenv -import sys - -# Load environment variables -load_dotenv() - -# Get Databricks credentials from environment variables -DATABRICKS_HOST = os.getenv("DATABRICKS_HOST") -DATABRICKS_TOKEN = os.getenv("DATABRICKS_TOKEN") -DATABRICKS_HTTP_PATH = os.getenv("DATABRICKS_HTTP_PATH") - -def check_env_vars(): - """Check if all required environment variables are set""" - missing = [] - if not DATABRICKS_HOST: - missing.append("DATABRICKS_HOST") - if not DATABRICKS_TOKEN: - missing.append("DATABRICKS_TOKEN") - if not DATABRICKS_HTTP_PATH: - missing.append("DATABRICKS_HTTP_PATH") - - if missing: - print("❌ Missing required environment variables:") - for var in missing: - print(f" - {var}") - print("\nPlease check your .env file and make sure all required variables are set.") - return False - - print("✅ All required environment variables are set") - return True - -def test_databricks_api(): - """Test connection to Databricks API""" - import requests - - print("\nTesting Databricks API connection...") - - try: - headers = { - "Authorization": f"Bearer {DATABRICKS_TOKEN}", - "Content-Type": "application/json" - } - - url = f"https://{DATABRICKS_HOST}/api/2.0/clusters/list-node-types" - response = requests.get(url, headers=headers) - - if response.status_code == 200: - print("✅ Successfully connected to Databricks API") - return True - else: - print(f"❌ Failed to connect to Databricks API: {response.status_code} - {response.text}") - return False - except Exception as e: - print(f"❌ Error connecting to Databricks API: {str(e)}") - return False - -def test_sql_connection(): - """Test connection to Databricks SQL warehouse""" - print("\nTesting Databricks SQL warehouse connection...") - - try: - from databricks.sql import connect - - conn = connect( - server_hostname=DATABRICKS_HOST, - http_path=DATABRICKS_HTTP_PATH, - access_token=DATABRICKS_TOKEN - ) - - cursor = conn.cursor() - cursor.execute("SELECT 1 AS test") - result = cursor.fetchall() - - if result and result[0][0] == 1: - print("✅ Successfully connected to Databricks SQL warehouse") - conn.close() - return True - else: - print("❌ Failed to get expected result from SQL warehouse") - conn.close() - return False - except Exception as e: - print(f"❌ Error connecting to Databricks SQL warehouse: {str(e)}") - return False - -if __name__ == "__main__": - print("Databricks Connection Test") - print("=========================\n") - - # Check for dependencies - try: - import requests - from databricks.sql import connect - except ImportError as e: - print(f"❌ Missing dependency: {str(e)}") - print("Please run: pip install -r requirements.txt") - sys.exit(1) - - # Run tests - env_ok = check_env_vars() - - if not env_ok: - sys.exit(1) - - api_ok = test_databricks_api() - sql_ok = test_sql_connection() - - # Summary - print("\nTest Summary") - print("===========") - print(f"Environment Variables: {'✅ OK' if env_ok else '❌ Failed'}") - print(f"Databricks API: {'✅ OK' if api_ok else '❌ Failed'}") - print(f"Databricks SQL: {'✅ OK' if sql_ok else '❌ Failed'}") - - if env_ok and api_ok and sql_ok: - print("\n✅ All tests passed! Your Databricks MCP server should work correctly.") - sys.exit(0) - else: - print("\n❌ Some tests failed. Please check the errors above and fix your configuration.") - sys.exit(1) \ No newline at end of file diff --git a/src/databricks/labs/mcp/servers/developer_tools/uv.lock b/src/databricks/labs/mcp/servers/developer_tools/uv.lock index 315f781..6e169a6 100644 --- a/src/databricks/labs/mcp/servers/developer_tools/uv.lock +++ b/src/databricks/labs/mcp/servers/developer_tools/uv.lock @@ -173,6 +173,7 @@ dependencies = [ { name = "databricks-sql-connector" }, { name = "mcp" }, { name = "packaging" }, + { name = "pyarrow" }, { name = "requests" }, ] @@ -182,6 +183,7 @@ requires-dist = [ { name = "databricks-sql-connector", specifier = ">=2.4.0" }, { name = "mcp", specifier = ">=1.0.0" }, { name = "packaging", specifier = ">=23.0" }, + { name = "pyarrow" }, { name = "requests", specifier = ">=2.31.0" }, ] @@ -471,6 +473,59 @@ wheels = [ { url = 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