refactor: prepare project for open source release

.gitignore

@@ -29,6 +29,10 @@ coverage.xml
 
 # Environment variables
 .env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
 
 # Editor directories and files
 .idea/
@@ -40,4 +44,22 @@ coverage.xml
 .DS_Store
 
 # Windows
-Thumbs.db.env
+Thumbs.db
+
+# Personal config files (use example files instead)
+claude_mcp_proxy/claude_desktop_config.json
+
+# Runtime files
+*.pid
+*.sock
+*.log
+
+# Uploads directory
+uploads/
+jupyter_runtime/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# Node modules (if any)
+node_modules/

CONTRIBUTING.md

@@ -0,0 +1,45 @@
+# Contributing to CodeRunner
+
+Thank you for your interest in contributing to CodeRunner! We welcome contributions from the community.
+
+## Getting Started
+
+1. Fork the repository
+2. Clone your fork: `git clone https://github.com/YOUR_USERNAME/coderunner.git`
+3. Create a new branch: `git checkout -b feature/your-feature-name`
+4. Make your changes
+5. Test your changes thoroughly
+6. Commit your changes: `git commit -m "Add your feature"`
+7. Push to your fork: `git push origin feature/your-feature-name`
+8. Create a Pull Request
+
+## Development Setup
+
+1. Install dependencies: `pip install -r requirements.txt`
+2. Copy the example config: `cp claude_mcp_proxy/claude_desktop_config.example.json claude_mcp_proxy/claude_desktop_config.json`
+3. Update the config file with your local paths
+4. Follow the setup instructions in the README
+
+## Code Style
+
+- Follow PEP 8 for Python code
+- Use meaningful variable and function names
+- Add comments for complex logic
+- Write tests for new features
+
+## Testing
+
+- Ensure all existing tests pass
+- Add tests for new functionality
+- Test with different Python versions if possible
+
+## Submitting Changes
+
+- Keep commits focused and atomic
+- Write clear commit messages
+- Update documentation as needed
+- Ensure no sensitive information is included
+
+## Questions?
+
+Feel free to open an issue for questions or discussions about contributing.

Dockerfile.coderunner

@@ -42,8 +42,8 @@ RUN python -m bash_kernel.install
 # Copy the application code (main.py)
 COPY ./main.py /app/main.py
 
-# Copy the application code (main.py)
-COPY ./mcp_main.py /app/mcp_main.py
+# Copy the application code (server.py)
+COPY ./server.py /app/server.py
 
 # Create application/jupyter directories
 RUN mkdir -p /app/uploads /app/jupyter_runtime

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 CodeRunner
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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 SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -45,8 +45,12 @@ container run \
 Finally, run the script from your terminal:
 
 ```bash
-git clone https://github.com/instavm/coderunner.git
+git clone https://github.com/BandarLabs/coderunner.git
 cd coderunner
+
+# Configure Claude Desktop MCP integration (optional)
+cp claude_mcp_proxy/claude_desktop_config.example.json claude_mcp_proxy/claude_desktop_config.json
+# Edit the config file with your local paths
 ```
 
 Now you can give it prompts like `write python code to generate 100 primes` and watch it execute the code safely in the sandbox!
@@ -56,14 +60,14 @@ Now you can give it prompts like `write python code to generate 100 primes` and
 Download `mcphost` from [releases](https://github.com/mark3labs/mcphost/releases/tag/v0.14.0)
 
 ```bash
-cp cookbooks/.mcp.json ~/.mcp.json
+cp examples/.mcp.json ~/.mcp.json
 ~/Downloads/mcphost_Darwin_arm64/mcphost  -m ollama:llama3.1:8b
 ```
 
 ### Can also run via python openai agents
 
 ```bash
-python cookbooks/openai_testmcp.py
+python examples/openai_client.py
 ```
 
 ### Use via Curl

claude_mcp_proxy/claude_desktop_config.example.json

@@ -0,0 +1,18 @@
+{
+  "mcpServers": {
+      "coderunner": {
+      "command": "/path/to/your/python",
+      "args": [
+        "/path/to/coderunner/claude_mcp_proxy/mcp.py"
+      ]
+    },
+    "filesystem": {
+      "command": "/path/to/your/node",
+      "args": [
+        "/path/to/mcp/filesystem/server",
+        "/path/to/workspace1",
+        "/path/to/workspace2"
+      ]
+    }
+  }
+}

entrypoint.sh

@@ -46,4 +46,4 @@ echo $kernel_id > /app/uploads/python_kernel_id.txt
 # exec python mcp_main.py
 
 # Start FastAPI application
-exec uvicorn mcp_main:app --host 0.0.0.0 --port 8222 --workers 1 --no-access-log
+exec uvicorn server:app --host 0.0.0.0 --port 8222 --workers 1 --no-access-log

mcp_main.py → server.py

@@ -20,7 +20,7 @@
 logger = logging.getLogger(__name__)
 
 # Initialize the MCP server with a descriptive name for the toolset
-mcp = FastMCP("jupyter_tools")
+mcp = FastMCP("CodeRunner")
 
 
 # Jupyter connection settings