Claude Skills MCP Server Details

Claude Skills MCP Server is an MCP server that enables intelligent search and retrieval of Claude Agent Skills using vector embeddings and semantic similarity. It implements a progressive disclosure architecture so AI applications can discover and load skills in stages (metadata → full content → files) while remaining fast and local. The server can load skills from multiple sources, including Official Anthropic Skills, K-Dense AI Scientific Skills, and local directories, providing a zero-configuration experience out of the box for Cursor or standalone usage. The architecture is split into a lightweight frontend and a heavy backend, enabling instant startup and background backend download, with no API keys required and the ability to connect to remote hosted backends if desired.

Use Case

Use this MCP server to search, discover, and retrieve Claude Agent Skills from multiple sources with fast, local vector search. The server exposes three tools for working with Claude Agent Skills: find_helpful_skills (semantic search based on a task description), read_skill_document (retrieve specific files from a skill), and list_skills (enumerate all loaded skills for exploration/debugging). The frontend-backend two-package architecture provides a lightweight startup with an intensive backend that handles vector search. You can run it via Cursor or standalone with uvx. Example usage from the docs:

  • Cursor users configuration snippet:
  • {
    "mcpServers": {
    "claude-skills": {
    "command": "uvx",
    "args": ["claude-skills-mcp"]
    }
    }
    }

  • Standalone run (standalone via uvx):
  • uvx claude-skills-mcp

  • Custom configuration flow (generate and customize config.json):
  • <h1 class="text-2xl font-semibold mt-5 mb-3">1. Print the default configuration</h1>
    uvx claude-skills-mcp --example-config > config.json

    <h1 class="text-2xl font-semibold mt-5 mb-3">2. Edit config.json to your needs</h1>

    <h1 class="text-2xl font-semibold mt-5 mb-3">3. Run with your custom configuration</h1>
    uvx claude-skills-mcp --config config.json

    This MCP server loads a curated set of skills by default (e.g., Anthropic Official Skills and K-Dense AI Scientific Skills) and can also load from a local directory (~/.claude/skills if it exists), enabling fast, private skill discovery without external API calls.

    Available Tools (3)

    Examples & Tutorials

    Real example usage from the documentation:

  • Cursor configuration snippet:

  • {
    "mcpServers": {
    "claude-skills": {
    "command": "uvx",
    "args": ["claude-skills-mcp"]
    }
    }
    }

  • Running the MCP server with the default configuration (standalone):

  • uvx claude-skills-mcp

  • Generating and using a custom configuration:

  • <h1 class="text-2xl font-semibold mt-5 mb-3">1. Print the default configuration</h1>
    uvx claude-skills-mcp --example-config > config.json

    <h1 class="text-2xl font-semibold mt-5 mb-3">2. Edit config.json to your needs</h1>

    <h1 class="text-2xl font-semibold mt-5 mb-3">3. Run with your custom configuration</h1>
    uvx claude-skills-mcp --config config.json


  • Cursor-based integration snippet (from the Quick Start):

  • {
    "mcpServers": {
    "claude-skills": {
    "command": "uvx",
    "args": ["claude-skills-mcp"]
    }
    }
    }

    Installation Guide

    Step-by-step commands extracted from the docs:

  • Run the MCP server with the default configuration (Standalone):

  • uvx claude-skills-mcp

  • If you want to start with a custom configuration, first generate a default config, then edit it and run with the custom config:

  • <h1 class="text-2xl font-semibold mt-5 mb-3">1. Print the default configuration</h1>
    uvx claude-skills-mcp --example-config > config.json

    <h1 class="text-2xl font-semibold mt-5 mb-3">2. Edit config.json to your needs</h1>

    <h1 class="text-2xl font-semibold mt-5 mb-3">3. Run with your custom configuration</h1>
    uvx claude-skills-mcp --config config.json


  • Cursor-based integration (example config snippet):

  • {
    "mcpServers": {
    "claude-skills": {
    "command": "uvx",
    "args": ["claude-skills-mcp"]
    }
    }
    }

    Frequently Asked Questions

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    Important Notes

    Notes and highlights from the docs:

  • Two-Package Architecture: Frontend (~15 MB) starts instantly; Backend (~250 MB) downloads in the background.

  • No Cursor timeout: Frontend responds in under 5 seconds.

  • Semantic Search: Vector embeddings enable intelligent skill discovery.

  • Progressive Disclosure: Loading from metadata to full content to files.

  • Zero Configuration: Works out of the box with curated skills.

  • Multi-Source: Supports loading from Official Anthropic Skills, K-Dense AI Scientific Skills, and local directories.

  • Fast & Local: No API keys required; automated GitHub caching.

  • Configurable: You can customize sources, models, and content limits.
  • Prerequisites

    Prerequisites include Python 3.12 (as indicated by the project badges) and the ability to run the MCP via uvx (Cursor) for standalone usage. The Quick Start demonstrates running with uvx claude-skills-mcp and options for a custom config.

    Details
    Last Updated1/1/2026
    Websitegithub.com
    SourceGitHub

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