Skip to main content
Glama

skills2mcp

Turn any folder of Markdown agent skills into a local MCP server for Claude, Cursor, and other MCP clients.

License Language Status PyPI version License: MIT MCP


🎯 Why?

GitHub trending is full of agent skills, prompt packs, and MCP SDKs, but there is no zero-config bridge that makes a plain folder of Markdown skills instantly consumable by MCP clients. Developers currently copy/paste skills into prompts or write bespoke servers. skills2mcp fills that gap by scanning Markdown files and exposing them as MCP tools, prompts, and resources.

Target audience: AI developers and coding-agent power users who maintain skill libraries, prompt packs, or runbooks and want them usable by MCP-compatible assistants without building a custom server.

Related MCP server: Skillz

✨ Features

  • Scan a directory for Markdown skills with optional frontmatter metadata

  • Expose skills as MCP tools, prompts, and resources over stdio

  • CLI commands for list, search, validate, and selftest

🚀 Quick Start

# Install
pip install skills2mcp

# Run
skills2mcp --help

📦 Installation

From Source

git clone https://github.com/YOUR_USERNAME/skills2mcp.git
cd skills2mcp
# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest -v

🎬 Demo

The GIF above was recorded using Charm VHS:

vhs < demo.tape

📖 Usage

# Show help
skills2mcp --help

# Common usage examples
skills2mcp --example

🏗️ Architecture

graph LR
    A[Input] --> B[Core Engine]
    B --> C[Output]
    B --> D[Plugins]
    D --> E[Extensions]

🤝 Contributing

Contributions are welcome! Please:

  1. Fork the repo

  2. Create a feature branch (git checkout -b feature/amazing-feature)

  3. Commit your changes (git commit -m 'Add amazing feature')

  4. Push to the branch (git push origin feature/amazing-feature)

  5. Open a Pull Request

📄 License

MIT © 2026 — See LICENSE for details.


If this project helped you, please ⭐ star it!

Made with ❤️ and AI

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    27
    Apache 2.0
  • A
    license
    -
    quality
    D
    maintenance
    Turns Claude-style skills (SKILL.md files with resources) into callable MCP tools for any agent. Discovers skills from a directory, exposes their instructions and resources, and can execute bundled helper scripts.
    398
    MIT
  • A
    license
    -
    quality
    -
    maintenance
    An MCP server that transforms Claude-style skills and resources into callable tools for any MCP-compatible agent or client. It automatically discovers, exposes, and executes scripts from skills organized in local directories or packaged archives.
  • A
    license
    B
    quality
    B
    maintenance
    A universal MCP server that loads Markdown skills from arbitrary folders, enabling lazy discovery and execution of skills across multiple MCP-capable tools.
    5
    23
    1
    MIT

View all related MCP servers

Related MCP Connectors

  • Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.

  • Agent-native MCP server over the public saagarpatel.dev corpus. Read-only, stateless.

  • MCP server exposing the Backtest360 engine API as tools for AI agents.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/yulinlina/skills2mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server