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Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
One place to manage & connect to all your MCP servers
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
Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.
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).
MCP server for fetch web page content using Playwright headless browser.
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.
Expose llms-txt to IDEs for development
Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client
一款全面的、便捷的cocos creator AI MCP服务插件，适用于3.8.0以上cocos版本，一键安装，一键启动。A comprehensive and convenient cocos creator AI MCP service plug-in, suitable for cocos versions above 3.8.
A XGo implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
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。
🐉 The fast, PHP way to build MCP servers
Easy peasy MCP servers in Django.
An AI-powered plugin for Caldera that orchestrates long-running LLM workflows to automatically create adversary emulation abilities and plan operations.
This project shows how to implement an MCP (Model Context Protocol) server of Apache ECharts.
Browse the web, directly from Cursor etc.
Not a path. Not a URL. A handoff that answers back.
CodeGraph transforms your entire codebase into a semantically searchable knowledge graph that AI agents can actually reason about—not just grep through.
Token-efficient MCP adapter for Pi coding agent
JSReverser-MCP 是一个面向 JavaScript 逆向分析的 MCP 工具，专门用于帮助开发者在真实浏览器环境中高效定位前端核心逻辑。它 将脚本检索、断点调试、函数 Hook、网络请求追踪、调用链分析、混淆还原和风险评估整合为统一能力，可直接接入 Claude、 Codex、Cursor 等支持 MCP 的客户端。