MCP Gmail Server
A Model Context Protocol (MCP) server that provides Gmail access for LLMs, powered by the MCP Python SDK.
jeremyjordan
README
MCP Gmail Server
A Model Context Protocol (MCP) server that provides Gmail access for LLMs, powered by the MCP Python SDK.
Features
- Expose Gmail messages as MCP resources
- Provide tools for composing, sending, and managing emails
- OAuth 2.0 authentication with Google's Gmail API
Prerequisites
- Python 3.10+
- Gmail account with API access
- uv for Python package management (recommended)
Setup
1. Install dependencies
Install project dependencies (uv automatically creates and manages a virtual environment)
uv sync
2. Configure Gmail OAuth credentials
There's unfortunately a lot of steps required to use the Gmail API. I've attempted to capture all of the required steps (as of March 28, 2025) but things may change.
Google Cloud Setup
-
Create a Google Cloud Project
- Go to Google Cloud Console
- Click on the project dropdown at the top of the page
- Click "New Project"
- Enter a project name (e.g., "MCP Gmail Integration")
- Click "Create"
- Wait for the project to be created and select it from the dropdown
-
Enable the Gmail API
- In your Google Cloud project, go to the navigation menu (≡)
- Select "APIs & Services" > "Library"
- Search for "Gmail API"
- Click on the Gmail API card
- Click "Enable"
-
Configure OAuth Consent Screen
- Go to "APIs & Services" > "OAuth consent screen"
- You will likely see something like "Google Auth Platform not configured yet"
- Click on "Get started"
- Fill in the required application information:
- App name: "MCP Gmail Integration"
- User support email: Your email address
- Fill in the required audience information:
- Choose "External" user type (unless you have a Google Workspace organization)
- Fill in the required contact information:
- Your email address
- Click "Save and Continue"
- Click "Create"
-
Create OAuth Credentials
- Go to "APIs & Services" > "Credentials"
- Click "Create Credentials" > "OAuth client ID"
- Choose "Desktop app" as the application type
- Enter a name (e.g., "MCP Gmail Desktop Client")
- Click "Create"
- Click "Download JSON" for the credentials you just created
- Save the file as
credentials.jsonin your project root directory
-
Add scopes
- Go to "APIs & Services" > "OAuth consent screen"
- Go to the "Data Access" tab
- Click "Add or remove scopes"
- Search for the Gmail API
- Select the scope for
.../auth/gmail.modifywhich grants permission to "Read, compose, and send emails from your Gmail account" - Click update
- Click save
Verify that you've set up your OAuth configuration correctly by running a simple test script.
uv run python scripts/test_gmail_setup.py
You should be able to see usage metrics at https://console.cloud.google.com/apis/api/gmail.googleapis.com/metrics
3. Run the server
Development mode:
uv run mcp dev mcp_gmail/server.py
This will spin up an MCP Inspector application that you can use to interact with the MCP server.
Or install for use with Claude Desktop:
uv run mcp install \
--with-editable .
--name gmail \
--env-var MCP_GMAIL_CREDENTIALS_PATH=$(pwd)/credentials.json \
--env-var MCP_GMAIL_TOKEN_PATH=$(pwd)/token.json \
mcp_gmail/server.py
[!NOTE] If you encounter an error like
Error: spawn uv ENOENTwhen spinning up Claude Desktop and initializing the MCP server, you may need to update yourclaude_desktop_config.jsonto provide the absolute path touv. Go to Claude Desktop -> Settings -> Developer -> Edit Config.{ "mcpServers": { "gmail": { "command": "~/.local/bin/uv", } } }
Development
Linting and Testing
Run linting and formatting:
# Format code
uv run ruff format .
# Lint code with auto-fixes where possible
uv run ruff check --fix .
# Run tests
uv run pytest tests/
Pre-commit Hooks
This project uses pre-commit hooks to ensure code quality. The hooks automatically run before each commit to verify code formatting and linting standards.
Install the pre-commit hooks:
pre-commit install
Run pre-commit manually on all files:
pre-commit run --all-files
Usage
Once running, you can connect to the MCP server using any MCP client or via Claude Desktop.
Available Resources
gmail://messages/{message_id}- Access email messagesgmail://threads/{thread_id}- Access email threads
Available Tools
compose_email- Create a new email draftsend_email- Send an emailsearch_emails- Search for emails with specific filters (from, to, subject, dates, etc.)query_emails- Search for emails using raw Gmail query syntaxget_emails- Retrieve multiple email messages by their IDslist_available_labels- Get all available Gmail labelsmark_message_read- Mark a message as readadd_label_to_message- Add a label to a messageremove_label_from_message- Remove a label from a message
Environment Variables
You can configure the server using environment variables:
MCP_GMAIL_CREDENTIALS_PATH: Path to the OAuth credentials JSON file (default: "credentials.json")MCP_GMAIL_TOKEN_PATH: Path to store the OAuth token (default: "token.json")MCP_GMAIL_MAX_RESULTS: Default maximum results for search queries (default: 10)
License
MIT
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.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor
Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.
Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.