mcp-hub
Skill433 starsChanged 10 months agoMITView on GitHub
Access 1200+ AI Agent tools via Model Context Protocol (MCP)
- Installs packages
In this repository137 other files it gives its agents.
- .cursor/rules/project-rules.mdcCursor rule
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The file
Files
Mcp Hub Skill
Overview
This skill provides access to 1200+ MCP (Model Context Protocol) servers - standardized tools that extend AI capabilities. Connect Claude to filesystems, databases, APIs, and document processing tools.
How to Use
- Describe what you want to accomplish
- Provide any required input data or files
- I'll execute the appropriate operations
Example prompts:
- "Access local filesystem to read/write documents"
- "Query databases for data analysis"
- "Integrate with GitHub, Slack, Google Drive"
- "Run document processing tools"
Domain Knowledge
MCP Architecture
Claude ←→ MCP Server ←→ External Resource
(Protocol) (Files, APIs, DBs)Popular Document MCP Servers
| Server | Function | Stars |
| filesystem | Read/write local files | Official |
| google-drive | Access Google Docs/Sheets | 5k+ |
| puppeteer | Browser automation, PDF gen | 10k+ |
| sqlite | Database queries | Official |
Configuration Example
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/documents"
]
},
"google-drive": {
"command": "npx",
"args": ["-y", "@anthropic/mcp-google-drive"]
}
}
}MCP Tool Discovery
Browse available servers:
- mcp.run - MCP marketplace
- awesome-mcp-servers
- mcp-awesome.com
Using MCP in Skills
# MCP tools become available to Claude automatically
# Example: filesystem MCP provides these tools:
# read_file(path) - Read file contents
# write_file(path, content) - Write to file
# list_directory(path) - List directory contents
# search_files(query) - Search for filesBest Practices
- Only enable MCP servers you need (security)
- Use official servers when available
- Check server permissions before enabling
- Combine multiple servers for complex workflows
Installation
# Install required dependencies
pip install python-docx openpyxl python-pptx reportlab jinja2Resources
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

