Browse and discover Model Context Protocol compatible clients.
Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.
An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.
Y-cli is a command-line chat application that brings AI conversations to your terminal, offering flexible storage, interactive chat, multiple bot configurations, reasoning model support, and MCP integration for deep research.
A secure local sandbox to run LLM-generated code using Apple containers
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.
mcp manager, Sync config across the clients, one click setup, add & install (Model Context Protocol)MCP server to Claude/Cursor/Windsurf/cline/vs code, say good bye to copy paste,mcphub
mcp client for Go (Golang). Integrate multiple Model Context Protocol (MCP) servers
AetherLink移动应用是一个基于现代Web技术构建的跨平台AI助手应用。该应用支持与多种AI模型（如OpenAI、Google Gemini、Anthropic Claude、Grok、硅基流动、火山方舟等）的交互，提供流畅的对话体验，并支持Android平台部署。应用采用React、TypeScript和Capacitor框架开发，具有高度可定制的模型配置、多主题聊天管理、AI思考过程可视
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
Java AI（智能体） 全场景应用开发框架（LLM，Function Call，RAG，Embedding，Reranking，Flow，MCP Server，Mcp Client，Mcp Proxy）。同时兼容 java8 ~ java24。
Turn React hooks into LLM tools
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。
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.
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 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