Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
A community driven registry service for Model Context Protocol (MCP) servers.
n8n custom node for MCP
Google 💚 MCP
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
An open-source Agent-first Identity and Access Management (IAM) /LLM MCP & agent gateway and auth server with web UI supporting OpenClaw, MCP, OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, TOTP, MFA,...
Build , and workflows with uAgents, ASI:One, Agentverse, MCP, the A2A protocol, LangChain, CrewAI, Gemini, Claude and OpenAI.
可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching,...
LangChain 🔌 MCP
UI over MCP. Create next-gen UI experiences with the protocol and SDK!
🚀 The fast, Pythonic way to build MCP servers and clients.
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.
Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done
-- 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.
Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.
10 design principles for building agent-ergonomic apps.
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
Review pull requests for bugs, risky changes, missing tests, and release notes.
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...
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。