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claude-office-skillsclaude-office-skills/skills/mcp-hub/SKILL.md

mcp-hub

Skill433 starsChanged 10 months agoMITView on GitHub

Access 1200+ AI Agent tools via Model Context Protocol (MCP)

  • Installs packages

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SKILL.md

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

  1. Describe what you want to accomplish
  2. Provide any required input data or files
  3. 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

ServerFunctionStars
filesystemRead/write local filesOfficial
google-driveAccess Google Docs/Sheets5k+
puppeteerBrowser automation, PDF gen10k+
sqliteDatabase queriesOfficial

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:

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 files

Best Practices

  1. Only enable MCP servers you need (security)
  2. Use official servers when available
  3. Check server permissions before enabling
  4. Combine multiple servers for complex workflows

Installation

# Install required dependencies
pip install python-docx openpyxl python-pptx reportlab jinja2

Resources

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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.

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