Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

AutoGenesis is an AI-powered automated testing framework based on Model Context Protocol (MCP), supporting multiple platforms including desktop applications (Windows/macOS) and mobile applications...

Lightweight, fast, NativeAOT compatible MCP (Model Context Protocol) framework for .NET

🐉 The fast, PHP way to build MCP servers

Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API.

MCP-Atlas evaluates how well AI agents use tools to complete real-world tasks, across 36 Model Context Protocol (MCP) servers in a reproducible Docker sandbox, scored with an LLM-as-judge.

This repository contains Python code examples for the Coursera course "AI Agents with Model Context Protocol."

The is a professional-grade Python implementation of the . It provides a structured environment for Large Language Models (LLMs) to interact with external tools and knowledge bases through a...

A comprehensive platform for managing and proxying Model Context Protocol (MCP) servers, providing scalable AI service orchestration across multiple microservices.

A server that ingests and serves Swagger/OpenAPI specifications through the Model Context Protocol (MCP).

⚠️ : This registry is currently in active development and testing phase. The API and data structure may change. Not recommended for production use yet.

MCPyATS brings together the Model Context Protocol (MCP) and Cisco pyATS to build intelligent, distributed agents capable of automating network tasks via natural language.

mcp4k is a compiler-driven framework for building both clients and servers using the Model Context Protocol (MCP) in Kotlin.
Agent Skills

Collection of Apify agent skills

Cursor plugin specification and official plugins

A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers.

Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.

-- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic.

Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done

Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.

Nothing is more valuable than time and money. In a world of AI agents, that's speed and token spend. A well-designed CLI is muscle memory for an agent: no hunting through docs, no wrong turns, no...

Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.

10 design principles for building agent-ergonomic apps.

Review pull requests for bugs, risky changes, missing tests, and release notes.

动手学CS146S中文版课程,包含assignments,vibe coding工具等,本项目将长期持续维护,致力于打造中文最好的vibe coding教程。