Sponsored by Deepsite.site

Google Drive MCP Server

Created By
feloresa year ago
Efficient implementation of the Google Drive MCP server
Content

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

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

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
DeepChatYour AI Partner on Desktop
ChatWiseThe second fastest AI chatbot™
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Tavily Mcp
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Amap Maps高德地图官方 MCP Server
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Serper MCP ServerA Serper MCP Server
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
WindsurfThe new purpose-built IDE to harness magic
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
CursorThe AI Code Editor
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Playwright McpPlaywright MCP server
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.