Skills Search MCP
Enables installation and management of skills from Vercel Labs, such as Vercel React best practices, through the skills.sh ecosystem.
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., "@Skills Search MCPFind skills for React and testing"
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.
π Skills Search MCP
A powerful MCP server that brings the skills.sh ecosystem directly to your AI agents
β¨ Why Skills Search MCP?
"The best AI agents are those with the right skills."
Finding and installing the right skills for your AI agents shouldn't be a manual research project. Skills Search MCP bridges your AI agents directly to the open-source skills ecosystem, making it effortless to discover, install, and manage skillsβall from within your agent workflow.
Related MCP server: aiskillstore
π Features
π Smart Discovery β Search skills by technologies (React, Python, Docker, etc.) or task domains (testing, deployment, linting)
π¦ Full Management β Install, uninstall, and update skills without leaving your agent
β‘ Parallel Search β Lightning-fast async searches across multiple technologies
π― Type-Safe β Built with Pydantic for robust input validation
π§Ή Clean Output β Automatically strips ANSI codes for readable responses
π Universal CLI Access β Run any
skillscommand directly when needed
π Available Tools
Tool | Description |
| Discover skills by technologies and task domain |
| See what skills are already installed |
| Get details about a specific skill |
| Install a skill locally |
| Remove a skill |
| Update installed skills to latest versions |
| Execute raw |
π οΈ Installation
Prerequisites
Python 3.10+
Node.js & npm (for the
skillsCLI)
Install Dependencies
pip install fastmcp pydanticOr with uv:
uv pip install fastmcp pydanticInstall the Skills CLI (if you haven't)
npm install -g @modelcontextprotocol/skillsβ‘ Quick Start
1. Run the Server
PYTHONPATH=src python3 src/skills_search_mcp/server.py2. Connect to Claude Desktop (macOS)
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"skills-search": {
"command": "python3",
"args": ["-P", "/path/to/skills-mcp/src", "src/skills_search_mcp/server.py"]
}
}
}3. Connect to Cursor
Add to Cursor settings (or cursor.mcp.json):
{
"mcpServers": {
"skills-search": {
"command": "python3",
"args": ["-P", "/path/to/skills-mcp/src", "src/skills_search_mcp/server.py"]
}
}
}π‘ Usage Examples
Find React Skills
find_useful_skills(technologies=["react"])Find Testing Skills for Python
find_useful_skills(technologies=["python"], task_domain="testing")List Installed Skills
list_installed_skills()Install a Skill
install_skill(skill_url="vercel-labs/agent-skills@vercel-react-best-practices")Check for Updates
update_skills(update_all=True)π§ Configuration
Environment Variables
Variable | Description | Default |
| Timeout for skills commands (seconds) | 60 |
π€ Contributing
Contributions are welcome! Here's how you can help:
Fork the repository
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
π Resources
skills.sh β Browse the skills ecosystem
MCP Documentation β Learn about MCP
FastMCP β Python SDK
β Show Your Support
If this project helps you build better AI agents, give it a βοΈ!
Built with β€οΈ for the AI agent community
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