
gdrive mcp server
Efficient implementation of the Google Drive MCP server
Repository Info
About This Server
Efficient implementation of the Google Drive MCP server
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
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
-
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
-
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
-
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"
-
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"
-
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
-
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 -
Run the authentication command:
node dist/index.js auth -
Complete the OAuth flow in your browser
-
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
-
Search for files:
// Search for documents containing "quarterly report" const result = await gdrive_search({ query: "quarterly report" }); -
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
credentialsdirectory - 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:
- Verify your Google Cloud Project setup
- Ensure all required OAuth scopes are enabled
- Check that credentials are properly placed in the
credentialsdirectory - Verify file permissions and access rights in Google Drive
📚 Additional Resources
- Google Drive API Documentation
- OAuth 2.0 for Desktop Apps
- Model Context Protocol Documentation
Quick Start
Clone the repository
git clone https://github.com/felores/gdrive-mcp-serverInstall dependencies
cd gdrive-mcp-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Recommended MCP Servers
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
Zapier MCP
A Zapier server that provides automation capabilities for various apps.