Gmail MCP Server

Gmail MCP Server

A Model Context Protocol server that enables AI assistants to search, read, and send emails with attachment support through the Gmail API. It also provides tools for comprehensive label management and uses secure OAuth2 authentication for mailbox access.

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README

Gmail MCP Server

A Model Context Protocol (MCP) server implementation for Gmail integration, enabling AI assistants to interact with Gmail through a standardized interface.

Features

  • Email Operations

    • List and search emails with advanced filtering
    • Read email content with attachments
    • Send emails with attachments
    • Draft support (coming soon)
    • Reply/Forward support (coming soon)
  • Label Management

    • List all labels
    • Create new labels
    • Update existing labels
    • Delete labels
  • Authentication

    • Secure OAuth2 authentication
    • Automatic token refresh
    • Token persistence

Installation

  1. Clone the repository:
git clone https://github.com/yourusername/gmail-mcp.git
cd gmail-mcp
  1. Install dependencies:
npm install
  1. Set up Google Cloud Project:

    • Go to Google Cloud Console
    • Create a new project
    • Enable Gmail API
    • Configure OAuth consent screen
    • Create OAuth credentials
    • Download credentials as gcp-oauth.keys.json
  2. Configure the project:

    • Place gcp-oauth.keys.json in the project root directory
    • Run the authentication server:
npm run auth
  1. Build the project:
npm run build

Usage

Starting the Server

npm start

The server runs on stdio, making it compatible with MCP clients.

Available Tools

1. List Emails

{
  "name": "list-emails",
  "arguments": {
    "maxResults": 10,
    "labelIds": ["INBOX"],
    "query": "is:unread"
  }
}

2. Read Email

{
  "name": "read-email",
  "arguments": {
    "id": "message-id",
    "format": "full"
  }
}

3. Send Email

{
  "name": "send-email",
  "arguments": {
    "to": "recipient@example.com",
    "subject": "Hello",
    "body": "Message content",
    "attachments": ["/path/to/file.pdf"]
  }
}

4. Search Emails

{
  "name": "search-emails",
  "arguments": {
    "query": "from:sender@example.com",
    "maxResults": 5
  }
}

5. Manage Labels

{
  "name": "manage-labels",
  "arguments": {
    "action": "create",
    "name": "MyNewLabel"
  }
}

Configuration

Environment Variables

  • GMAIL_MCP_DEBUG: Enable debug logging (default: false)
  • GMAIL_MCP_TOKEN_PATH: Custom path for token storage
  • GMAIL_MCP_KEYS_PATH: Custom path for OAuth keys file

OAuth Credentials

The OAuth credentials file (gcp-oauth.keys.json) should be structured as:

{
  "installed": {
    "client_id": "your-client-id",
    "client_secret": "your-client-secret",
    "redirect_uris": ["http://localhost:3000/oauth2callback"]
  }
}

Development

Running Tests

# Run all tests
npm test

# Run with coverage
npm run test:coverage

# Run in watch mode
npm run test:watch

Building

# Build once
npm run build

# Build in watch mode
npm run dev

Error Handling

The server handles various error scenarios:

  • Authentication failures
  • Rate limiting
  • Invalid parameters
  • Network issues
  • Permission errors

Errors are returned in a standardized format with appropriate HTTP status codes.

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • Google Gmail API
  • Model Context Protocol
  • Contributors and maintainers

Support

For support, please open an issue in the GitHub repository or contact the maintainers.

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