AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
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Updated
Nov 6, 2025 - Python
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale
AI agent microservice
UltraRAG 2.0: Less Code, Lower Barrier, Faster Deployment! MCP-based low-code RAG framework, enabling researchers to build complex pipelines to creative innovation.
The Simple Agent Development Kit.
A simple yet powerful agent framework for personal assistants, designed to enable intelligent interaction, multi-agent collaboration, and seamless tool integration.
The AI toolkit for the AI developer
The best way to create, deploy, and share MCP Servers
An MCP Multimodal AI Agent with eyes and ears!
开盒即用的优雅管理mcp服务 | 结合Agent框架 | 作者听劝 | 已发布pypi | Vue页面demo
A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include multi-server, dynamic model switching, streaming responses, tool management, human-in-the-loop, thinking mode, full model parameters configuration, custom system prompt and saved preferences. Built for developers working with local LLMs.
A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.
A ReAct-Based Highly Robust Autonomous Agent Framework.
OmniCoreAgent is the complete AI development platform that combines two powerful systems into one revolutionary ecosystem. Build production-ready AI agents with OmniAgent, use the advanced MCP client with MCPOmni Connect, or combine both for maximum power.
Dify 1.0 Plugin MCP HTTP with SSE or Streamable HTTP transport Tools
支持查询主流agent框架技术文档的MCP server(支持stdio和sse两种传输协议), 支持 langchain、llama-index、autogen、agno、openai-agents-sdk、mcp-doc、camel-ai 和 crew-ai
ReActMCP is a reactive MCP client that empowers AI assistants to instantly respond with real-time, Markdown-formatted web search insights powered by the Exa API.
Python SDK for interacting with the MCP Toolbox for Databases.
MCP server for understanding AWS spend
Wraps any OpenAI API interface as Responses with MCPs support so it supports Codex. Adding any missing stateful features. Ollama and Vllm compliant.
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