Claude Skill
K-Dense-AI/claude-skills-mcp
Python MCP server for searching and retrieving Claude Agent Skills using vector search technology. Enables efficient discovery and integration of AI agent capabilities.
Overview
Repository
Install this Skill
uvx claude-skills-mcpRegistry
uvx claude-skills-mcpuvx claude-skills-mcp --example-config > config.jsonuvx claude-skills-mcp --config config.json
Summary
A Model Context Protocol (MCP) server that enables searching and retrieving Claude Agent Skills using vector search technology.
MCP服务器,用于通过向量搜索查找和检索Claude Agent Skills
Key features
- MCP server implementation
- Vector search capabilities
- Claude Skill retrieval
- Python-based development
- Search functionality for agent skills
Use cases
- Searching Claude Agent Skills database
- Integrating skill discovery into applications
- Building tools that leverage Claude Skills
- Creating skill recommendation systems
- Developing AI agent ecosystems
README excerpt
# Claude Skills MCP Server > **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. Thank you to everyone who used and contributed to this project! --- [](https://github.com/K-Dense-AI/claude-skills-mcp/actions/workflows/test.yml) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/Apache-2.0) [](https://github.com/astral-sh/ruff) [](https://badge.fury.io/py/claude-skills-mcp) > **Use [Claude's powerful new Skills system](https://www.anthropic.com/news/skills) 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](https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills), making specialized skills available to any MCP-compatible AI
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