Click on "Deploy 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., "@skillmcp What skills are available?"
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.
skillmcp
Trending repos show fast-growing agent-skill ecosystems and MCP-powered coding agents, but skills are usually static SKILL.md or JSON folders without a universal local bridge. Existing MCP servers are app-specific or require heavy SDK setup. skillmcp fills the gap with a tiny stdio MCP adapter that discovers, validates, searches, and exposes skill files to Claude, Cursor, or any MCP client.
Target audience: AI agent developers, Claude Code/Cursor users, platform teams, and open-source skill authors who want reusable skills exposed to MCP clients without writing a custom server.
Related MCP server: Skillz
✨ *Recursively discovers SKILL.md, .skill.md, and skill.json skill files
✨ Exposes skills_list, skills_get, and skills_search as MCP tools
✨ Validates skill folders from the CLI with human or JSON output
✨ Runs as a dependency-free stdio MCP server with resources/read support
# Install
pip install skillmcp
# Run
skillmcp --helpgit clone https://github.com/YOUR_USERNAME/skillmcp.git
cd skillmcp# 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 -vThe GIF above was recorded using Charm VHS:
vhs < demo.tape# Show help
skillmcp --help
# Common usage examples
skillmcp --examplegraph LR
A[Input] --> B[Core Engine]
B --> C[Output]
B --> D[Plugins]
D --> E[Extensions]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
MIT © 2026 — See LICENSE for details.
If this project helped you, please ⭐ star it!
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Hosted MCP server for live public-data APIs and Skills for AI agents.
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
Host your MCP tool over streamable HTTP in one command.
Personal assistant MCP server with search, execute, packages, jobs, secrets, and integrations.
