mcp-converter

Convert MCP servers with 10+ tools into Claude Skills.

36|6|Updated Nov 2, 2025
One-click install
npx skills add https://github.com/oimiragieo/LLM-RULES --skill mcp-converter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-converter
Source: https://github.com/oimiragieo/LLM-RULES/tree/main/.claude/skills/mcp-converter
Command: npx skills add https://github.com/oimiragieo/LLM-RULES --skill mcp-converter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mcp.

What problem does it solve?

MCP servers load all tool definitions into context at startup, causing large token usage. This Skill converts MCP servers into Claude Skills with progressive disclosure to dramatically reduce context while preserving functionality.

Core Features & Use Cases

  • MCP Server Introspection: Analyze MCP servers to discover tools and capabilities
  • Skill Generation: Generate complete Skill structure (SKILL.md, executor.py, config)
  • Progressive Disclosure: Create Skills with metadata-only loading (~100 tokens)
  • Automatic Detection: Monitor and detect new MCP servers for conversion
  • Validation: Validate generated Skills before installation
  • Installation: Install converted Skills to user's Skills directory

Quick Start

"Convert the github MCP server to a Skill"

Frequently Asked Questions about mcp-converter

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

FAQPage Schema
How do I reduce context usage when loading MCP servers with many tools?

Convert your MCP server to a Claude Skill using progressive disclosure, which loads only metadata at startup (~100 tokens) and defers full tool instructions until needed, reducing context by 90%+ while preserving all functionality.

Can I convert an MCP server with 10+ tools into a Skill?

Yes, this Skill automatically detects and converts MCP servers with 10 or more tools into Claude Skills, supporting both on-demand and bulk conversion scenarios with built-in validation before installation.

What happens during MCP server conversion to a Skill?

The conversion process introspects your MCP server to discover tools, generates a complete Skill structure (SKILL.md, executor.py, config), validates the output, and installs it to ~/.claude/skills/ ready for use.

How does progressive disclosure reduce token overhead in Claude Skills?

Progressive disclosure initializes Skills with metadata only (~100 tokens), loading full instructions (~5k tokens) only when you actually invoke a tool, dramatically cutting startup context while maintaining immediate access to tool discovery.

Do I need to manually configure each tool when converting an MCP server?

No, the Skill automatically detects all tools in your MCP server and generates the complete Skill configuration, including on-demand loading behavior, so conversion is fully automated end-to-end.