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Gmail MCP Server

A privacy-focused MCP server that grants Claude read-only access to Gmail using strict, user-defined filters to control which emails are exposed. It enables searching and fetching email metadata while ensuring data security through OAuth and localized filter enforcement.

glama
Updated
Apr 1, 2026

Gmail MCP Server

Python 3.9+ License: MIT MCP

A privacy-first Model Context Protocol server that gives Claude controlled, read-only access to your Gmail inbox. You define exactly which emails Claude can see — nothing else is exposed.

Why this is different

Most Gmail MCP servers give Claude unrestricted access to your entire inbox. This one doesn't.

Featuregmail-mcpOthers
Filter by sender domainYesNo
Filter by label, date, subject, sizeYesNo
Block specific subject keywordsYesNo
Per-request body privacy controlYesNo
Access log (no email content)YesNo
Read-only OAuth scopeYesSome

Your config/filters.yaml acts as a firewall — Claude's query is always ANDed with your rules, and it cannot be bypassed even if Claude tries to access a specific message ID directly.


Prerequisites

1. Google API credentials

  1. Go to Google Cloud Console
  2. Create a new project (or select an existing one)
  3. Enable the Gmail API: APIs & Services → Enable APIs → search "Gmail API" → Enable
  4. Create OAuth credentials: APIs & Services → Credentials → Create Credentials → OAuth Client ID
    • Application type: Desktop app
    • Download the JSON file
  5. Save it to ~/.gmail_mcp/credentials.json

2. Configure your filters

Edit config/filters.yaml to control which emails Claude can access. The file is heavily commented — every option is explained inline.

filters:
  from_addresses: ["trusted@example.com"]   # Only emails from these senders
  labels: ["INBOX"]                          # Only emails with these labels
  unread_only: false                         # Set true for unread only
  date_after: "2025-01-01"                   # Ignore older emails
  subject_exclude: ["unsubscribe"]           # Skip marketing emails
  max_results: 50                            # Cap per request

privacy:
  allow_full_body: false                     # Keep false unless you need it

Option A — Claude Desktop (local, no tunnel needed)

Best for: everyday use with the Claude Desktop app on Mac or Windows.

The server runs as a local subprocess over stdio — no port, no URL, no Docker required.

Install:

git clone https://github.com/dhagash2310/gmail-mcp.git
cd gmail-mcp
python3 -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -e .

First run (OAuth login):

gmail-mcp

A browser window opens. Log in and grant access. Your token is saved to ~/.gmail_mcp/token.json.

Add to Claude Desktop:

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "gmail": {
      "command": "/path/to/gmail-mcp/.venv/bin/gmail-mcp",
      "env": {
        "GMAIL_CREDENTIALS_PATH": "/Users/you/.gmail_mcp/credentials.json",
        "GMAIL_FILTER_CONFIG_PATH": "/path/to/gmail-mcp/config/filters.yaml"
      }
    }
  }
}

Restart Claude Desktop. The Gmail tools will appear automatically.


Option B — Docker + ngrok (Claude.ai browser version)

Best for: using the server with Claude.ai in your browser, or any other MCP-compatible web client (ChatGPT, etc.).

Claude.ai is a cloud app and cannot reach localhost directly, so you run the server in HTTP mode and use ngrok to give it a public HTTPS URL.

Step 1 — Complete OAuth login (first time only)

The container handles headless auth — it prints a URL for you to open in your browser and paste the code back.

mkdir -p ~/.gmail_mcp
cp /path/to/your/credentials.json ~/.gmail_mcp/credentials.json

docker compose run --rm gmail-mcp
# Opens a URL — open it in your browser, approve access, paste the code back
# Token is saved to ~/.gmail_mcp/token.json

Step 2 — Start the server

docker compose up -d
# Server runs at http://localhost:8000/mcp

Step 3 — Expose with ngrok

# Install ngrok: https://ngrok.com/download  or  brew install ngrok
ngrok http 8000
# You'll see a public URL like: https://abc123.ngrok-free.app

Step 4 — Connect Claude.ai

  1. Go to claude.ai → Settings → Connectors
  2. Click Add custom connector
  3. Enter your ngrok URL with the /mcp path:
    https://abc123.ngrok-free.app/mcp
    
  4. Save — the Gmail tools will appear in your next conversation.

Note: The ngrok URL changes each time you restart ngrok (on the free plan). You'll need to update the connector URL in Claude.ai when that happens. A paid ngrok plan gives you a stable domain.

Updating filters without restarting

The config/filters.yaml file is mounted into the container. Edit it on your host machine and call the apply_filters tool in Claude to reload it — no restart needed.


Available Tools

ToolDescription
preview_filtersShow active filter rules without fetching any email
apply_filtersReload and display the current filter configuration
fetch_emailsFetch emails matching your filter config
search_emailsSearch emails — your query is ANDed with the active filters
get_email_metadataGet details for a specific email (filter-verified)

Privacy & Security

  • Read-only access: Only gmail.readonly scope is requested — Claude cannot send, delete, or modify emails
  • Filter enforcement: Every tool call enforces your filters.yaml rules before returning data
  • No body by default: Only metadata and 200-character snippets are returned unless you enable allow_full_body in filters.yaml
  • Access logging: Every tool call is logged to ~/.gmail_mcp/access.log (no email content in the log)
  • Local only: No data is sent to any third-party service — the server runs entirely on your machine

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