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Google Drive MCP Server

Google Drive MCP Server

Local
github.com/feloresFiles & Storage72Updated 51w ago

About Google Drive MCP Server

A Google Drive MCP server that lets AI models search, list and read files stored in Google Drive. It is aimed at users who want cloud documents available to a model's context. The server converts Google Workspace files into common formats and accesses Drive read-only.

Key features

  1. 01Search Google Drive files by query
  2. 02Read file contents by file ID
  3. 03Convert Google Docs to Markdown and Sheets to CSV
  4. 04Return other files as Base64-encoded data

Use cases

  1. 01Letting a model find and cite cloud reports or documents
  2. 02Importing spreadsheet content into a model for analysis
  3. 03Reading reference material from Drive inside an agent workflow

MCP support

This is an MCP server that exposes the gdrive_search and gdrive_read_file tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Google Drive MCP Server

A powerful Model Context Protocol (MCP) server that provides seamless integration with Google Drive, allowing AI models to search, list, and read files from Google Drive.

🚀 Features

Tools
1. gdrive_search

Search for files in your Google Drive with powerful full-text search capabilities.

  • Input:
    {
      "query": "string (your search query)"
    }
    
  • Output: List of files with:
    • File name
    • MIME type
    • File ID
    • Last modified time
    • File size
2. gdrive_read_file

Read file contents directly using a Google Drive file ID.

  • Input:
    {
      "file_id": "string (Google Drive file ID)"
    }
    
  • Output: File contents with appropriate format conversion
Automatic File Format Handling

The server intelligently handles different Google Workspace file types:

  • 📝 Google Docs → Markdown
  • 📊 Google Sheets → CSV
  • 📊 Google Presentations → Plain text
  • 🎨 Google Drawings → PNG
  • 📄 Text/JSON files → UTF-8 text
  • 📦 Other files → Base64 encoded

🛠️ Getting Started

Prerequisites
  • Node.js (v16 or higher)
  • npm or yarn
  • A Google Cloud Project
  • A Google Workspace or personal Google account
Detailed Google Cloud Setup
  1. Create a Google Cloud Project

    • Visit the Google Cloud Console
    • Click "New Project"
    • Enter a project name (e.g., "MCP GDrive Server")
    • Click "Create"
    • Wait for the project to be created and select it
  2. Enable the Google Drive API

    • Go to the API Library
    • Search for "Google Drive API"
    • Click on "Google Drive API"
    • Click "Enable"
    • Wait for the API to be enabled
  3. Configure OAuth Consent Screen

    • Navigate to OAuth consent screen
    • Select User Type:
      • "Internal" if you're using Google Workspace
      • "External" for personal Google accounts
    • Click "Create"
    • Fill in the required fields:
      • App name: "MCP GDrive Server"
      • User support email: your email
      • Developer contact email: your email
    • Click "Save and Continue"
    • On the "Scopes" page:
      • Click "Add or Remove Scopes"
      • Add https://www.googleapis.com/auth/drive.readonly
      • Click "Update"
    • Click "Save and Continue"
    • Review the summary and click "Back to Dashboard"
  4. Create OAuth Client ID

    • Go to Credentials
    • Click "Create Credentials" at the top
    • Select "OAuth client ID"
    • Choose Application type: "Desktop app"
    • Name: "MCP GDrive Server Desktop Client"
    • Click "Create"
    • In the popup:
      • Click "Download JSON"
      • Save the file
      • Click "OK"
  5. Set Up Credentials in Project

    # Create credentials directory
    mkdir credentials
    
    # Move and rename the downloaded JSON file
    mv path/to/downloaded/client_secret_*.json credentials/gcp-oauth.keys.json
    
Installation
# Clone the repository
git clone https://github.com/felores/gdrive-mcp-server.git
cd gdrive-mcp-server

# Install dependencies
npm install

# Build the project
npm run build
Authentication
  1. Create a credentials directory and place your OAuth keys:

    mkdir credentials
    # Move your downloaded OAuth JSON file to the credentials directory as gcp-oauth.keys.json
    
  2. Run the authentication command:

    node dist/index.js auth
    
  3. Complete the OAuth flow in your browser

  4. Credentials will be saved in credentials/.gdrive-server-credentials.json

🔧 Usage

As a Command Line Tool
# Start the server
node dist/index.js
Integration with Desktop App

Add this configuration to your app's server settings:

{
  "mcpServers": {
    "gdrive": {
      "command": "node",
      "args": ["path/to/gdrive-mcp-server/dist/index.js"],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "path/to/gdrive-mcp-server/credentials/gcp-oauth.keys.json",
        "MCP_GDRIVE_CREDENTIALS": "path/to/gdrive-mcp-server/credentials/.gdrive-server-credentials.json"
      }
    }
  }
}

Replace path/to/gdrive-mcp-server with the actual path to your installation directory.

Example Usage
  1. Search for files:

    // Search for documents containing "quarterly report"
    const result = await gdrive_search({ query: "quarterly report" });
    
  2. Read file contents:

    // Read a specific file using its ID
    const contents = await gdrive_read_file({ file_id: "your-file-id" });
    

🔒 Security

  • All sensitive credentials are stored in the credentials directory
  • OAuth credentials and tokens are excluded from version control
  • Read-only access to Google Drive
  • Secure OAuth 2.0 authentication flow

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📝 License

This MCP server is licensed under the MIT License. See the LICENSE file for details.

🔍 Troubleshooting

If you encounter issues:

  1. Verify your Google Cloud Project setup
  2. Ensure all required OAuth scopes are enabled
  3. Check that credentials are properly placed in the credentials directory
  4. Verify file permissions and access rights in Google Drive

📚 Additional Resources

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.