Google Drive MCP server

This MCP server integrates with Google Drive, allowing you to list, search, and read files directly from your Google Drive account. The server handles various file types including Google Workspace documents, which are automatically converted to appropriate formats.

Features

• Search for files in Google Drive
• Access files by ID using the format gdrive:///<file_id>
• Automatic file format conversion:
  • Google Docs → Markdown
  • Google Sheets → CSV
  • Google Presentations → Plain text
  • Google Drawings → PNG

Installation

Prerequisites

Before setting up the server, you need to configure Google Cloud:

1. Create a new Google Cloud project
2. Enable the Google Drive API
3. Configure an OAuth consent screen ("internal" is fine for testing)
4. Add OAuth scope https://www.googleapis.com/auth/drive.readonly
5. Create an OAuth Client ID for application type "Desktop App"
6. Download the JSON file of your client's OAuth keys
7. Rename the key file to gcp-oauth.keys.json

Building the Server

After configuring Google Cloud, build the server:

npm run build

Or for continuous development:

npm run watch

Authentication Setup

To authenticate and save credentials:

1. Run the server with the auth argument:

   node ./dist auth
   

2. A browser window will open automatically
3. Complete the Google authentication process
4. Credentials will be saved as .gdrive-server-credentials.json

Usage

Docker Integration

Authentication with Docker

To authenticate the server using Docker:

docker run -i --rm --mount type=bind,source=/path/to/gcp-oauth.keys.json,target=/gcp-oauth.keys.json -v mcp-gdrive:/gdrive-server -e GDRIVE_OAUTH_PATH=/gcp-oauth.keys.json -e "GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json" -p 3000:3000 mcp/gdrive auth

Open the displayed URL in your browser and complete authentication. Your credentials will be saved in the mcp-gdrive Docker volume.

Configuring Docker in Your App

Add the following to your app's server configuration:

{
  "mcpServers": {
    "gdrive": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-v", "mcp-gdrive:/gdrive-server", "-e", "GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json", "mcp/gdrive"]
    }
  }
}

NPX Integration

To use the server with NPX, add this configuration:

{
  "mcpServers": {
    "gdrive": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-gdrive"
      ]
    }
  }
}

Using the Server

Searching Files

You can search for files in your Google Drive with the search tool:

• Input: Your search query as a string
• Output: File names and MIME types of matching files

Accessing Files

Access files directly using resource URIs in the format:

gdrive:///<file_id>

The file ID is the unique identifier from Google Drive, typically found in the URL when viewing a file.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.