The MCP to Skills Converter is a tool designed to locate Model Context Protocol (MCP) servers and transform their definitions into Claude Code skills. It acts as a discovery and analysis engine that can scan multiple sources for MCP implementations, assess their capabilities, and generate Claude Code-compatible skill representations from their MCP metadata. Once you identify relevant MCP servers, you can convert them into skills that Claude can utilize for more intelligent, context-aware interactions. The converter emphasizes automation: you can discover MCPs, analyze their endpoints and metadata, and emit structured skill definitions ready for integration.

To use it, run the converter with its package name (for example via npx) and let it enumerate MCPs from configured sources. After selecting a target MCP, the tool analyzes the MCP document and converts the exposed commands, intents, and parameters into Claude Code skill blocks. The output can be integrated into your Claude Code workspace or saved as a local skill package for deployment. If you need to refine results, you can re-run the discovery with different search terms or adjust its source configuration to prioritize npm, GitHub, or local MCPs.

Prerequisites:

• Node.js (version 14 or later) and npm
• Optional: GitHub API token for higher search rate limits

Step-by-step installation:

1. Ensure prerequisites are installed. Verify versions: node -v npm -v

2. Install or run via npx (no global install required): // Quick usage without installation npm install -g npm@latest # optional, keep npm up to date npx -y mcp-to-skills-converter

3. If you prefer local installation (optional): mkdir my-mcp-tools cd my-mcp-tools npm init -y npm install mcp-to-skills-converter

   Run from node_modules/.bin or via npx path

4. Configure environment (optional):

   • Create an environment file or export variables as needed, e.g., export GITHUB_TOKEN=ghp_your_token_here
   • You can set other environment options as required by the converter or its sources.

5. Verify installation by running a basic discovery command (the exact CLI syntax will be shown by the tool's help output): npx -y mcp-to-skills-converter --help

Tips and common considerations:

• Using a GitHub token can significantly increase API rate limits when discovering MCPs from GitHub sources.
• If discovery is slow or rate-limited, try enabling local MCP scanning or offline caching if supported by the tool.
• The converter outputs Claude Code skill definitions; validate the resulting skills in Claude Code and adjust mappings if needed for your workspace.
• If you encounter connection or timeout issues, tweak any provided timeout or retry settings in your environment as per the tool’s documentation.
• Keep your MCP source configurations up to date; MCPs can evolve, and the converter benefits from current metadata and endpoint definitions.