skilltap
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@skilltapsearch for skills about Docker deployment"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
skilltap
Turn a folder of Markdown agent skills into MCP tools that any coding agent can list, search, and load.
🎯 Why?
Agent skills and MCP servers are trending, but local procedural knowledge is still trapped in loose Markdown files. Memory MCP servers store facts, not reusable runbooks, and coding agents lack a zero-dependency way to discover team skills. skilltap bridges that gap by indexing a skills folder and exposing safe list/get/search tools over MCP stdio.
Target audience: Developers and platform teams building with Claude Code, Cursor, or custom MCP agents who want reusable, version-controlled operational skills without running extra infrastructure.
Related MCP server: agent-skills-mcp
✨ Features
✨ Scans a directory of Markdown skills with simple frontmatter and safe path handling
✨ Exposes list_skills, get_skill, and search_skills MCP tools over stdio
✨ Includes a human CLI for listing, searching, printing, and inspecting tools
🚀 Quick Start
# Install
pip install skilltap
# Run
skilltap --help📦 Installation
From Source
git clone https://github.com/YOUR_USERNAME/skilltap.git
cd skilltap# 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
skilltap --help
# Common usage examples
skilltap --example🏗️ Architecture
graph LR
A[Input] --> B[Core Engine]
B --> C[Output]
B --> D[Plugins]
D --> E[Extensions]🤝 Contributing
Contributions are welcome! Please:
Fork the repo
Create a feature branch (
git checkout -b feature/amazing-feature)Commit your changes (
git commit -m 'Add amazing feature')Push to the branch (
git push origin feature/amazing-feature)Open a Pull Request
📄 License
MIT © 2026 — See LICENSE for details.
If this project helped you, please ⭐ star it!
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