Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Bot to Spam messages on YouTube Live Stream Chat with an integrated MCP Server and a Realtime Dashboard
A comprehensive platform for managing and proxying Model Context Protocol (MCP) servers, providing scalable AI service orchestration across multiple microservices.
LangGraph Agent 与 MCP Server 集成，实现AI智能聊天机器人项目
A local-first MCP bridge that turns web-based AI (ChatGPT, Grok, Gemini) into a supervised worker on your computer. (Optimized for programming and Most similar to CodeX)
A lightweight, configurable reverse proxy for routing and load balancing MCP (Model Context Protocol) requests to appropriate backend services based on request content.
CLI, Rust client library, and MCP server for Anytype: manage spaces and objects, edit documents in Markdown, back up and restore, chat.
tRPC to MCP package
Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
An MCP server that hosts finite state machines as dynamic resources that multiple clients can subscribe to and be updated when their state changes.
Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services.
基于 LangChain/LangGraph + LlamaIndex 构建的工程级多 Agent 协作系统，支持上传简历与岗位 JD 后全自动完成面试准备、模拟面试、实时评估与复习规划；系统涵盖多 Agent DAG 编排、RAG 多路召回、MCP 协 议集成、双引擎记忆系统与动态难度调节，以 Python Web 服务部署于 Linux 服务器，支持摄像头、语音输入与文字 多模态交互。
