This open-source curriculum is designed to teach the concepts and fundamentals of the Model Context Protocol (MCP), with practical examples in .NET, Java, TypeScript, JavaScript and Python.
- Updated
Jul 9, 2025 - Python
This open-source curriculum is designed to teach the concepts and fundamentals of the Model Context Protocol (MCP), with practical examples in .NET, Java, TypeScript, JavaScript and Python.
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
mcp-use is the easiest way to interact with mcp servers with custom agents
Klavis AI (YC X25): Open Source MCP integration for AI applications
The Simple Agent Development Kit.
The AI toolkit for the AI developer
Arcade Python SDK, CLI, and toolkits
娜迦本地智能体,基于多智能体架构的通用型 AI 助手
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.
An MCP Multimodal AI Agent with eyes and ears!
MCPOmni Connect is an agent execution runtime that connects to multiple MCP servers via stdio, SSE, or streamable HTTP. It supports chat, autonomous agents, and planner-based orchestration treating each MCP server as a tool agent to enable dynamic multi-agent workflows across LLM systems, and can be embedded in FastAPI or backend systems.
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.
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
MCP server for understanding AWS spend
Python SDK for interacting with the MCP Toolbox for Databases.
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.
Wraps any OpenAI API interface as Responses with MCPs support so it supports Codex. Adding any missing stateful features. Ollama and Vllm compliant.
Collection of examples of how to use Model Context Protocol with AWS.
Chat application with multi-agents system supports multi-models and MCP
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