mcp-to-skill

Convert MCP servers into Claude Skills with SKILL.md and executor.py files.

2|Updated Jan 4, 2026
One-click install
npx skills add https://github.com/akaihola/skills-akaihola --skill mcp-to-skill-akaihola
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-to-skill
Source: https://github.com/akaihola/skills-akaihola/tree/main/mcp-to-skill
Command: npx skills add https://github.com/akaihola/skills-akaihola --skill mcp-to-skill-akaihola

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mcp, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The MCP to Skill Converter reduces context usage by transforming full MCP servers into Claude Skills that load tool metadata on demand, enabling high-velocity responses with minimal startup context.

Core Features & Use Cases

  • Progressive disclosure that loads only metadata at startup and full tool schemas when needed.
  • Generates a runnable executor and supporting files to deploy skills from MCP configurations.
  • Real-world use: turning a 20-tool MCP server into a Claude Skill that maintains functionality while reducing context.

Quick Start

Use the converter on an MCP server configuration to produce a Claude Skill directory you can install in Claude.

Frequently Asked Questions about mcp-to-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert an MCP server into a Claude Skill to reduce context usage?

Converting an MCP server into a Claude Skill uses progressive disclosure to load tool metadata on demand, generating a runnable skill directory with SKILL.md and executor.py to minimize startup context while preserving invocation patterns.

What is progressive disclosure for MCP servers and when do I need it?

Progressive disclosure is a technique that loads only metadata at startup and full tool schemas when needed. You need it to transform high-context MCP servers into efficient Claude Skills that maintain functionality while reducing context usage.

Does the MCP to Skill converter support both Python and Node-based MCP servers?

Yes, the MCP to Skill converter supports both Python and Node-based MCP servers, discovering tools from the server configuration to generate a production-ready skill directory with mcp-config.json and example usage.

How do I generate a runnable skill directory from an MCP configuration?

To generate a runnable skill directory, run the converter on your MCP server configuration; it outputs SKILL.md, executor.py, mcp-config.json, README.md, and example usage files for direct installation in Claude.

What's the best way to minimize Claude startup context when using a large MCP server?

The best way to minimize startup context is transforming the MCP server into a Claude Skill using progressive disclosure, which loads full tool schemas only when needed instead of loading all 20 tools at startup.