Browse and discover Model Context Protocol compatible clients.
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
Python SDK for interacting with the MCP Toolbox for Databases.
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This repository provides two MCP client implementations that connect to an MCP server and send queries to Google Gemini AI. It enables Gemini to call external tools and maintains conversation
Turn React hooks into LLM tools
MCP Dockmaster allows you to easily install and manage MCP servers. Available for Mac, Windows and Linux as a Desktop App, CLI and a library.
基于MCP(Model Context Protocol)的智能聊天应用，支持Web和桌面环境。集成OpenAI/Anthropic API，提供MCP服务器的所有工具能力。简洁现代的UI设计，支持跨平台部署。
An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to que
This repository showcases a Model Context Protocol (MCP) client built with Gradio, demonstrating interaction with MCP servers via STDIO and SSE for seamless tool integration within a user-friendly interface.
This repository provides a basic MCP client implementation that leverages the Ollama API to retrieve MCP data, replacing the original Claude-specific code and currently supporting only stdio transport for communication.
OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.
FastAPI server implementing MCP protocol Browser automation via browser-use library.
This repository demonstrates using the Model Context Protocol with OpenAI to build a chat-based agent. It provides a starting point for projects, but users should be aware of potential token usage costs.
This repository provides a minimal MCP client library, enabling LLM UIs to support the Model Context Protocol through an OpenAI-compatible API. It facilitates integration with locally runnable inference engines.