Gmail MCP Server

An MCP server that enables AI models to interact directly with the Gmail API to manage emails.

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Gmail MCP Server

A powerful Model Context Protocol (MCP) server that enables Claude AI to directly interact with Gmail.

Gmail MCP MIT License Python Version

📖 Table of Contents

📋 Overview

The Gmail MCP Server is a comprehensive implementation that enables AI assistants like Claude to directly interact with Gmail through natural language. It exposes a rich set of tools for email management, enabling seamless integration between conversational AI and your inbox.

💡 Key Features

  • Complete Email Management

    • Send plain text and HTML emails with attachments
    • Read emails with proper parsing of complex message structures
    • Search your inbox with Gmail's powerful query syntax
    • Create and update draft emails
    • Manage labels, read/unread status, and trash
    • Perform batch operations on multiple emails

  • Advanced Integration

    • Modern Python codebase with async/await pattern
    • Comprehensive error handling and recovery
    • Detailed progress reporting
    • Secure OAuth authentication flow
    • Multiple transport modes (STDIO and SSE)
    • Support for different deployment scenarios

🚀 Quick Start

Prerequisites

  • Python 3.8 or higher
  • A Google Cloud project with the Gmail API enabled
  • OAuth 2.0 credentials for the Gmail API

Installation

  1. Clone the repository

    git clone https://github.com/yourusername/gmail-mcp-server.git
cd gmail-mcp-server

  2. Set up a virtual environment

    python -m venv venv

# On Windows
venv\Scripts\activate

# On macOS/Linux
source venv/bin/activate

  3. Install dependencies

    pip install -r requirements.txt

  4. Set up Google Cloud and OAuth credentials

    Visit the Google Cloud Console to:

    • Create a new project
    • Enable the Gmail API
    • Set up OAuth consent screen
    • Create OAuth Client ID credentials (Desktop application)
    • Download credentials as credentials.json in project root

First Run and Authentication

Run the server once to authenticate:

python gmail_server.py

This will open a browser window asking you to authenticate with your Google account. After authentication, a token.json file will be created and saved for future use.

Configure Claude Desktop

  1. Edit your Claude Desktop configuration file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json

  2. Add the Gmail MCP server to the configuration:

    {
  "mcpServers": {
    "gmail": {
      "command": "python",
      "args": [
        "/absolute/path/to/gmail-mcp-server/gmail_server.py"
      ]
    }
  }
}

  3. Save the file and restart Claude Desktop

Note: Replace "/absolute/path/to/gmail-mcp-server/gmail_server.py" with the actual absolute path to the gmail_server.py file in your cloned repository.

🧰 Available Tools

The Gmail MCP Server exposes the following tools to Claude:

Email Sending

  • send_email - Send basic emails with text/HTML content
  • send_email_with_attachment - Send emails with file attachments
  • send_email_with_multiple_attachments - Send emails with multiple attachments

Email Reading

  • read_email - Read the content of a specific email by ID
  • get_unread_emails - Get a list of unread emails
  • get_important_emails - Get emails marked as important
  • get_emails_with_attachments - Get emails that have attachments
  • get_recent_emails - Get emails from the last X days

Email Search and Organization

  • search_emails - Search emails using Gmail's query syntax
  • get_email_labels - List all Gmail labels/folders
  • create_email_label - Create a new label
  • delete_email_label - Delete an existing label
  • label_email - Apply a label to an email
  • remove_email_label - Remove a label from an email

Email Status Management

  • mark_as_read - Mark an email as read
  • mark_as_unread - Mark an email as unread
  • delete_email - Move an email to trash

Draft Management

  • create_email_draft - Create a new draft email
  • update_email_draft - Update an existing draft
  • list_email_drafts - List available drafts
  • send_draft - Send an existing draft

Batch Operations

  • batch_apply_label - Apply a label to multiple emails
  • batch_delete_emails - Move multiple emails to trash

Account Information

  • get_email_profile - Get Gmail profile information
  • summarize_recent_emails - Create a summary of recent emails

💬 Usage Examples

Here are some example prompts for Claude:

Send an email to john@example.com with the subject "Project Update" and let them know we're still on track for the deadline next week.

Search my inbox for any emails from Bank of America in the last month and summarize them for me.

Find all unread emails from my boss and create a summary of any action items mentioned in them.

Draft an email to the team about the upcoming meeting on Thursday at 2pm. Remind everyone to prepare their weekly updates.

🔧 Advanced Configuration

Environment Variables

The server supports multiple environment variables for customization:

VariableDescription
GMAIL_TOKEN_PATHCustom path to store OAuth token
GMAIL_CREDENTIALS_PATHCustom path to OAuth credentials
GOOGLE_CLIENT_IDOAuth client ID (alternative to credentials file)
GOOGLE_CLIENT_SECRETOAuth client secret (alternative to credentials file)
MCP_PORTPort for SSE transport (default: 3000)
DEBUGEnable debug mode (true or false)

SSE Server Mode

The server can be run in SSE (Server-Sent Events) mode for HTTP-based integration:

python gmail_server.py --sse [port]

This starts the server on the specified port (default: 3000), making it accessible via HTTP.

📚 Documentation

🔒 Security Considerations

  • The server uses OAuth 2.0 for secure Gmail API authentication
  • All actions run locally on your machine - emails never pass through third-party servers
  • Authentication tokens are stored locally and can be revoked at any time
  • The server requires local file access only for reading attachments
  • Claude always asks for confirmation before sending or deleting emails

🤝 Contributing

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

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some 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 for the Gmail API
  • Anthropic for Claude and the Model Context Protocol
  • Contributors to the Python Gmail API client libraries

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