Allows reading, sending, and managing emails from multiple Gmail accounts, including searching emails, downloading attachments, and handling email conversations and threads.
Requires a Google Cloud Project with Gmail API enabled and OAuth 2.0 credentials for authentication and authorization.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Gmail MCP Serversearch for emails from my boss this week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Gmail MCP Server
A powerful and flexible Gmail integration server built using the MCP (Message Control Protocol) framework. This server provides a robust interface to interact with Gmail APIs, offering functionality for reading, sending, and managing emails programmatically.
Features
Read emails from multiple Gmail accounts
Send emails with attachments
Search emails with advanced query options
Download email attachments
Handle email conversations and threads
Real-time email monitoring
Support for multiple Gmail accounts
Related MCP server: Systemprompt MCP Gmail Server
Prerequisites
Before running the Gmail MCP server, ensure you have the following:
Python 3.12 or higher
Google Cloud Project with Gmail API enabled
OAuth 2.0 Client ID credentials
Required Python packages (specified in pyproject.toml)
Installation
Installing via Smithery
To install Gmail Integration Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @Quantum-369/Gmail-mcp-server --client claudeClone the repository:
git clone <your-repository-url>
cd gmail-mcp-serverCreate and activate a virtual environment:
python -m venv venv
# On Windows
venv\Scripts\activate
# On Unix/MacOS
source venv/bin/activateInstall dependencies:
pip install .Running on Ubuntu
Install Python 3.12 and create a virtual environment if you haven't already:
sudo apt install python3.12 python3.12-venv -y python3.12 -m venv venv source venv/bin/activatePlace your downloaded
client_secret.jsonin the project root.Generate an OAuth token for the Gmail account you want to use. Copy the URL printed by the script into a web browser and complete the sign-in process:
python gmail_token_creator.pyStart the server:
python gmail_server.py
Setup Google Cloud Project
Go to the Google Cloud Console
Create a new project or select an existing one
Enable the Gmail API for your project
Create OAuth 2.0 credentials:
Go to "APIs & Services" > "Credentials"
Click "Create Credentials" > "OAuth client ID"
Choose "Desktop app" as application type
Download the client configuration file
Rename the downloaded file to
client_secret.jsonand place it in the project root directory
Configuration
Set up email identifiers in
gmail_token_creator.py:
email_identifier = 'your.email@gmail.com' # Change this for each accountRun the token creator to authenticate your Gmail accounts:
python gmail_token_creator.pyThe script prints an authorization URL. Copy this URL into your web browser,
complete the Google consent flow, and copy the verification code back into the
terminal if prompted. A token file will be created inside token_files/ for
future use.
Repeat the process for each Gmail account you want to integrate
Server Structure
gmail_server.py: Main MCP server implementationgmail_api.py: Gmail API interaction functionsgoogle_apis.py: Google API authentication utilitiesSupporting files:
read_emails.py: Email reading functionalitysearch_emails.py: Email search functionalitysend_emails.py: Email sending functionality
Usage
Starting the Server
python gmail_server.pyRunning with Docker
You can also build a container image using the provided Dockerfile:
docker build -t gmail-mcp-server .
docker run -v $(pwd)/client_secret.json:/app/client_secret.json \
-v $(pwd)/token_files:/app/token_files gmail-mcp-serverThe container runs the same server and stores authentication tokens in the
token_files directory on the host so they persist between runs.
Available Tools
Send Email:
await send_gmail(
email_identifier="your.email@gmail.com",
to="recipient@example.com",
subject="Test Subject",
body="Email body content",
attachment_paths=["path/to/attachment"]
)Search Emails:
await search_email_tool(
email_identifier="your.email@gmail.com",
query="from:someone@example.com",
max_results=30,
include_conversations=True
)Read Latest Emails:
await read_latest_emails(
email_identifier="your.email@gmail.com",
max_results=5,
download_attachments=False
)Download Attachments:
await download_email_attachments(
email_identifier="your.email@gmail.com",
msg_id="message_id",
download_all_in_thread=False
)Security Considerations
Store
client_secret.jsonsecurely and never commit it to version controlKeep token files secure and add them to
.gitignoreUse environment variables for sensitive information
Regularly rotate OAuth credentials
Monitor API usage and set appropriate quotas
Error Handling
The server includes comprehensive error handling and logging:
Logs are written to
gmail_mcp.logBoth file and console logging are enabled
Detailed error messages for debugging
Contributing
Fork the repository
Create a feature branch
Commit your changes
Push to the branch
Create a Pull Request
License
Apachelicense2.0
Support
For issues and feature requests, please use the GitHub issue tracker.