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Google Drive MCP Server for managing files and folders via the Model Context Protocol

Project description

Google Drive MCP Server

An MCP server for managing files and folders in Google Drive, integrating seamlessly with AI assistants using the Model Context Protocol.

Features

  • List Files/Folders: Search and list files with advanced query support.
  • Get Metadata: Retrieve detailed information about specific files or folders.
  • Manage Folders: Create new folders and organize content.
  • Organize Content: Move, copy, and delete (or trash) files.
  • Export: Export Google Docs, Sheets, and Slides to formats like PDF or DOCX.

Installation

Prerequisites

  • Python 3.9 or higher.
  • A Google Cloud Project with the Drive API enabled.
  • OAuth2 credentials (Client ID and Client Secret).

Local Setup

  1. Install dependencies:

    pip install -e .
    
  2. Run the server:

    python main.py --access-token <TOKEN> --refresh-token <REFRESH_TOKEN> --client-id <CLIENT_ID> --client-secret <CLIENT_SECRET>
    

Configuration

Add the following to your MCP host configuration (e.g., mcp-config.json):

{
  "mcpServers": {
    "barie-google-drive-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "/path/to/google_drive",
        "barie-google-drive-mcp",
        "--access-token",
        "YOUR_ACCESS_TOKEN",
        "--refresh-token",
        "YOUR_REFRESH_TOKEN",
        "--client-id",
        "YOUR_CLIENT_ID",
        "--client-secret",
        "YOUR_CLIENT_SECRET"
      ]
    }
  }
}

Tools

  • list_files: Search and list files.
  • get_file_metadata: Get file details.
  • create_folder: Create a new folder.
  • delete_file: Delete or trash a file.
  • move_file: Move a file to a new folder.
  • copy_file: Copy a file.
  • export_file: Export Google workspace files.

License

MIT

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