🐍 ☁️ 🏠 🍎 🪟 🐧 - Search and use Claude Agent Skills from any model or client as if natively supported
Claude Skills MCP Server
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
> **This MCP server is no longer hosted or maintained.** Agent Skills have been natively adopted by all major AI platforms — Cursor, Windsurf, Claude Code, Copilot, and others now support skills out of the box. There is no longer a need for an MCP bridge to deliver skills to your coding assistant. The final release (v1.1.0) remains installable from PyPI. Thank you to everyone who used and contributed to this project!
---
> **Use Claude's powerful Skills system with ANY AI model or coding assistant** - including Cursor, Codex, GPT-5, Gemini, and more. This MCP server brings Anthropic's Agent Skills framework to the entire AI ecosystem through the Model Context Protocol.
A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills engineering blog, making specialized skills available to any MCP-compatible AI application.
**An open-source project by K-Dense** - creators of autonomous AI scientists for scientific research.
This MCP server enables any MCP-compatible AI assistant to intelligently search and retrieve skills from our curated Scientific Agent Skills repository and other skill sources like the Official Claude Skills.
Demo
*Semantic search and progressive loading of Claude Agent Skills in Cursor*
Highlights
- **Two-Package Architecture**: Lightweight frontend (~15 MB) starts instantly; backend (~250 MB) downloads in background
- **No Cursor Timeout**: Frontend responds in config.json
2. Edit config.json to your needs
3. Run with your custom configuration
uvx claude-skills-mcp --config config.json
Documentation
- **Getting Started** - Installation, Cursor setup, CLI usage, and troubleshooting
- **Architecture Guide** - Two-package design, data flow, and components
- **API Documentation** - Tool parameters, examples, and best practices
- **Usage Examples** - Advanced configuration, real-world use cases, and custom skill creation
- **Auto-Update Feature** - Automatic hourly skill source refresh and change detection
- **Testing Guide** - Complete testing instructions, CI/CD, and coverage analysis
MCP Tools
The server provides three tools for working with Claude Agent Skills:
1. **find_helpful_skills** - Semantic search for relevant skills based on task description
2. **read_skill_document** - Retrieve specific files (scripts, data, references) from skills
3. **list_skills** - View complete inventory of all loaded skills (for exploration/debugging)
See API Documentation for detailed parameters, examples, and best practices.
Architecture
The system uses a **two-package architecture** for optimal performance:
- **Frontend** (claude-skills-mcp): Lightweight proxy (~15 MB)
- Starts instantly (<5 seconds) ✅ **No Cursor timeout!**
- Auto-downloads backend on first use
- MCP server (stdio) for Cursor
- **Backend** (claude-skills-mcp-backend): Heavy server (~250 MB)