Google Drive MCP
by codenamerey
README.md
# Google Drive MCP (Model Context Protocol)
This project consists of two separate NestJS servers:
1. Auth Server - Handles Google OAuth2 authentication
2. Drive Server - Handles Google Drive CRUD operations
## Prerequisites
- Node.js (v14 or higher)
- npm or yarn
- Google Cloud Platform account with Google Drive API enabled
- OAuth 2.0 credentials from Google Cloud Console
## Setup
1. Clone the repository
2. Install dependencies:
```bash
npm install
```
3. Create a `.env` file in the root directory with the following variables:
```
# OAuth Server Configuration
AUTH_SERVER_PORT=3000
AUTH_SERVER_URL=http://localhost:3000
# Drive Server Configuration
DRIVE_SERVER_PORT=3001
DRIVE_SERVER_URL=http://localhost:3001
# Google OAuth Configuration
GOOGLE_CLIENT_ID=your_client_id_here
GOOGLE_CLIENT_SECRET=your_client_secret_here
GOOGLE_REDIRECT_URI=http://localhost:3000/auth/google/callback
# Session Configuration
SESSION_SECRET=your_session_secret_here
```
## Running the Servers
1. Start the Auth Server:
```bash
npm run start:auth
```
2. Start the Drive Server:
```bash
npm run start:drive
```
## API Endpoints
### Auth Server (Port 3000)
- `GET /auth/google` - Get Google OAuth URL
- `GET /auth/google/callback` - OAuth callback endpoint
- `GET /auth/tokens` - Get current user's tokens
- `POST /auth/logout` - Logout endpoint
### Drive Server (Port 3001)
- `GET /drive/files` - List files
- Query params: `pageSize`, `pageToken`
- `GET /drive/files/:fileId` - Get file details
- `POST /drive/files` - Create new file
- Body: `file` (multipart/form-data), `metadata` (JSON)
- `PUT /drive/files/:fileId` - Update file
- Body: `file` (multipart/form-data), `metadata` (JSON)
- `DELETE /drive/files/:fileId` - Delete file
## Development
For development with hot-reload:
```bash
# Auth Server
npm run dev:auth
# Drive Server
npm run dev:drive
```
## Security Considerations
1. Always use HTTPS in production
2. Implement proper session management
3. Store tokens securely
4. Implement rate limiting
5. Add proper error handling
6. Add request validation
7. Implement proper logging
## Using with Claude
This MCP server allows Claude to access and interact with your Google Drive files. When properly configured, Claude can search, list, and read your files directly.
First, build the MCP server:
```bash
npm run build:mcp
```
### Configuration for Claude Desktop
Add the following configuration to your Claude Desktop configuration file:
```json
{
"mcpServers": {
"google-drive-mcp": {
"command": "node",
"args": ["/path/to/google-drive-mcp/dist/index.js"],
"env": {
"GDRIVE_CREDS_DIR": "/path/to/config/directory",
"CLIENT_ID": "your-google-client-id",
"CLIENT_SECRET": "your-google-client-secret"
},
"description": "This server connects Claude to Google Drive, allowing it to search, list, and read your files. You can ask Claude to find specific documents, read file contents, or work with data from your Google Drive."
}
}
}
```
## Integration with Claude Code
This project is optimized for use with **Claude Code**, Anthropic's CLI tool. The combination enables powerful Google Drive automation and organization workflows.
### Key Features for Claude Code
- **Bulk file operations**: Delete empty folders, organize files, batch processing
- **Intelligent categorization**: Automated folder sorting using naming patterns
- **Parallel processing**: Efficient handling of large datasets with background jobs
- **Token management**: Optimized API usage to conserve Claude's context window
### Example Workflows
1. **Mass File Organization**:
```bash
# Claude Code can help organize hundreds of files into categories
# Using parallel API calls and intelligent categorization
```
2. **Empty Folder Cleanup**:
```bash
# Automatically identify and remove empty folders
# With verification and batch processing
```
3. **Folder Structure Analysis**:
```bash
# Analyze folder hierarchies and recommend optimizations
# Generate reports on file distribution and usage patterns
```
### Best Practices
The `CLAUDE.md` file contains detailed best practices for:
- Token conservation strategies
- Memory management techniques
- Parallel processing patterns
- API efficiency optimization
These patterns were developed through real-world usage organizing 300+ folders and are designed to minimize context usage while maximizing automation capabilities.
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues