MCP Headless Gmail Server
A headless server that enables reading and sending Gmail emails through API calls without requiring local credentials or browser access, designed to run remotely in containerized environments.
README
MCP Headless Gmail Server
A MCP (Model Context Protocol) server that provides get, send Gmails without local credential or token setup.
Why MCP Headless Gmail Server?
Critical Advantages
- Headless & Remote Operation: Unlike other MCP Gmail solutions that require running outside of docker and local file access, this server can run completely headless in remote environments with no browser no local file access.
- Decoupled Architecture: Any client can complete the OAuth flow independently, then pass credentials as context to this MCP server, creating a complete separation between credential storage and server implementation.
Nice but not critical
- Focused Functionality: In many use cases, especially for marketing applications, only Gmail access is needed without additional Google services like Calendar, making this focused implementation ideal.
- Docker-Ready: Designed with containerization in mind for a well-isolated, environment-independent, one-click setup.
- Reliable Dependencies: Built on the well-maintained google-api-python-client library.
Features
- Get most recent emails from Gmail with the first 1k characters of the body
- Get full email body content in 1k chunks using offset parameter
- Send emails through Gmail
- Refresh access tokens separately
- Automatic refresh token handling
Prerequisites
- Python 3.10 or higher
- Google API credentials (client ID, client secret, access token, and refresh token)
Installation
# Clone the repository
git clone https://github.com/yourusername/mcp-headless-gmail.git
cd mcp-headless-gmail
# Install dependencies
pip install -e .
Docker
Building the Docker Image
# Build the Docker image
docker build -t mcp-headless-gmail .
Usage with Claude Desktop
Docker Usage
You can configure Claude Desktop to use the Docker image by adding the following to your Claude configuration:
{
"mcpServers": {
"gmail": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"buryhuang/mcp-headless-gmail:latest"
]
}
}
}
Note: With this configuration, you'll need to provide your Google API credentials in the tool calls as shown in the Using the Tools section. Gmail credentials are not passed as environment variables to maintain separation between credential storage and server implementation.
Cross-Platform Publishing
To publish the Docker image for multiple platforms, you can use the docker buildx command. Follow these steps:
-
Create a new builder instance (if you haven't already):
docker buildx create --use -
Build and push the image for multiple platforms:
docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7 -t buryhuang/mcp-headless-gmail:latest --push . -
Verify the image is available for the specified platforms:
docker buildx imagetools inspect buryhuang/mcp-headless-gmail:latest
Usage
The server provides Gmail functionality through MCP tools. Authentication handling is simplified with a dedicated token refresh tool.
Starting the Server
mcp-server-headless-gmail
Using the Tools
When using an MCP client like Claude, you have two main ways to handle authentication:
Refreshing Tokens (First Step or When Tokens Expire)
If you have both access and refresh tokens:
{
"google_access_token": "your_access_token",
"google_refresh_token": "your_refresh_token",
"google_client_id": "your_client_id",
"google_client_secret": "your_client_secret"
}
If your access token has expired, you can refresh with just the refresh token:
{
"google_refresh_token": "your_refresh_token",
"google_client_id": "your_client_id",
"google_client_secret": "your_client_secret"
}
This will return a new access token and its expiration time, which you can use for subsequent calls.
Getting Recent Emails
Retrieves recent emails with the first 1k characters of each email body:
{
"google_access_token": "your_access_token",
"max_results": 5,
"unread_only": false
}
Response includes:
- Email metadata (id, threadId, from, to, subject, date, etc.)
- First 1000 characters of the email body
body_size_bytes: Total size of the email body in bytescontains_full_body: Boolean indicating if the entire body is included (true) or truncated (false)
Getting Full Email Body Content
For emails with bodies larger than 1k characters, you can retrieve the full content in chunks:
{
"google_access_token": "your_access_token",
"message_id": "message_id_from_get_recent_emails",
"offset": 0
}
You can also get email content by thread ID:
{
"google_access_token": "your_access_token",
"thread_id": "thread_id_from_get_recent_emails",
"offset": 1000
}
The response includes:
- A 1k chunk of the email body starting from the specified offset
body_size_bytes: Total size of the email bodychunk_size: Size of the returned chunkcontains_full_body: Boolean indicating if the chunk contains the remainder of the body
To retrieve the entire email body of a long message, make sequential calls increasing the offset by 1000 each time until contains_full_body is true.
Sending an Email
{
"google_access_token": "your_access_token",
"to": "recipient@example.com",
"subject": "Hello from MCP Gmail",
"body": "This is a test email sent via MCP Gmail server",
"html_body": "<p>This is a <strong>test email</strong> sent via MCP Gmail server</p>"
}
Token Refresh Workflow
- Start by calling the
gmail_refresh_tokentool with either:- Your full credentials (access token, refresh token, client ID, and client secret), or
- Just your refresh token, client ID, and client secret if the access token has expired
- Use the returned new access token for subsequent API calls.
- If you get a response indicating token expiration, call the
gmail_refresh_tokentool again to get a new token.
This approach simplifies most API calls by not requiring client credentials for every operation, while still enabling token refresh when needed.
Obtaining Google API Credentials
To obtain the required Google API credentials, follow these steps:
- Go to the Google Cloud Console
- Create a new project
- Enable the Gmail API
- Configure OAuth consent screen
- Create OAuth client ID credentials (select "Desktop app" as the application type)
- Save the client ID and client secret
- Use OAuth 2.0 to obtain access and refresh tokens with the following scopes:
https://www.googleapis.com/auth/gmail.readonly(for reading emails)https://www.googleapis.com/auth/gmail.send(for sending emails)
Token Refreshing
This server implements automatic token refreshing. When your access token expires, the Google API client will use the refresh token, client ID, and client secret to obtain a new access token without requiring user intervention.
Security Note
This server requires direct access to your Google API credentials. Always keep your tokens and credentials secure and never share them with untrusted parties.
License
See the LICENSE file for details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.