Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
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.
MCP Ethical Hacking Security sample for educational
An MCP server that exposes AWS EC2 pricing data with an option to search by CPU, RAM, networking
This is an implementation of the Model Context Protocol (MCP) that integrates with Google's Gemini API to provide analytical thinking capabilities without code generation.
MCP bridge system optimized for Xiaozhi AI integration
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。
Easy peasy MCP servers in Django.
Elixir Model Context Protocol (MCP) SDK (hermes-mcp fork)
OWASP MCP Taxonomy
HTML fetcher using the famous SingleFile HTML fetcher https://github.com/gildas-lormeau/SingleFile
is a powerful tool that automatically detects APIs in existing projects and transforms them into Model Context Protocol (MCP) servers.
This project demonstrates how to build a multi-agent system using Agent-to-Agent (A2A) communication with the Model Context Protocol (MCP).
Agent Skills
是一个 AI Agent 技能库，收录了一系列可被 Agent 直接调用的结构化技能。每个技能都是独立的、可组合的工作流单元，覆盖信息获取、内容处理、图像工具等场景。
面向 Web 逆向分析与接口签名还原场景的 Skill，围绕 camoufox-reverse MCP 构建单一工作流：先用 Camoufox 反检测浏览器完成网络捕获、源码定位、Hook 调试与反检测验证，再按需落地到 Node.js 或 Python 算法还原与自动化调用。
Claude Code를 위한 커스텀 스킬 모음입니다. 개발 생산성을 높이기 위한 다양한 자동화 스킬들을 제공합니다.
A personal AI assistant that evolves with you. 8 different types of memory (episodic, semantic, procedural, emotional, prospective, behavioral, narrative, shared) make it truly yours.
A lean .claude/ setup for daily development. Seven specialist agents, twelve workflow skills, six modular rules, and eight safety/productivity hooks.
Ported from the TypeScript reference implementation and extended with a Python-native runtime
A self-evolving AI research colleague for scientists.
CAR is a meta-harness for coding agents (Codex, Hermes, OpenCode, OMP, anything ACP). It is not a coding agent itself. You bring the plan and the agents; CAR coordinates the long-running execution.
本项目把传统术数相关的 AI skill 拆成可审计、可复用、可逐步扩展的工程模块。目标不是把模型包装成“更会玄学”，而是尽量减少它在排盘、流派口径、步骤顺序和解释链路上的幻觉。
the interactive repo-local install paths (./install.sh and clawhip install from a clone) can offer to star this repo after a successful install when gh is installed and authenticated.
1. 对话 skill 模式：在聊天中按 SKILL.md 约束执行单轮改写；安装本仓库作为 skill 后即可直接使用。 2. 脚本 API 模式：通过 scripts/run_aigc_round.py 执行单轮分段处理，并按需调用外部 OpenAI 兼容接口。 3. Web 模式：启动本地后端和前端页面，在浏览器中完成上传、配置、执行和导出。 4. app：安装app可直接使用
Wakaru unpacks webpack, esbuild, and other production bundles, then reverses minifier and transpiler output into readable modern JavaScript.