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Glama

Gmail MCP Server

Full Gmail control for any MCP-compatible AI agent. Exposes ~40 tools covering reading, composing, labeling, filtering, threading, and account management — works with Claude, Cursor, Copilot, Goose, OpenCode, and any agent that speaks the MCP stdio protocol.


Requirements

  • Python 3.10+

  • A Google account

  • Any MCP-compatible AI agent (Claude Code, Cursor, Copilot, Goose, OpenCode, etc.)


Related MCP server: Gmail MCP Server

Quick Install (Linux)

Detects Arch or Ubuntu/Debian automatically, creates a virtualenv, installs deps, sets credential permissions, and prints the MCP config snippet ready to paste:

bash install.sh

Manual steps follow below if you prefer full control.


1. Python Dependencies

pip install -r requirements.txt

requirements.txt:

mcp
google-api-python-client
google-auth-oauthlib
google-auth-httplib2

2. Google Cloud Console Setup

2.1 Create a Project

  1. Go to https://console.cloud.google.com/

  2. Click the project dropdown (top-left) → New Project

  3. Name it (e.g. gmail-mcp) → Create

  4. Make sure the new project is selected in the dropdown

2.2 Enable the Gmail API

  1. Go to APIs & ServicesLibrary

  2. Search for Gmail API → click it → Enable

  1. Go to APIs & ServicesOAuth consent screen

  2. Choose ExternalCreate

  3. Fill in:

    • App name: anything (e.g. Gmail MCP)

    • User support email: your Gmail address

    • Developer contact email: your Gmail address

  4. Click Save and Continue through Scopes (skip adding scopes here)

  5. On the Test users page → Add users → add your Gmail address

  6. Click Save and ContinueBack to Dashboard

Important: While the app is in Testing mode only the users listed here can authenticate. The app does not need to be published.

2.4 Add Required OAuth Scopes

  1. Go to APIs & ServicesOAuth consent screenEdit App

  2. On the Scopes step → Add or Remove Scopes

  3. Search for and select each of the following:

    Scope

    Why

    https://mail.google.com/

    Full read/write/delete/send access

    https://www.googleapis.com/auth/gmail.settings.basic

    Create/manage filters and labels

  4. Click UpdateSave and Continue

gmail.settings.basic is required specifically for filters.create / filters.delete. mail.google.com alone is not sufficient for filter management despite appearing to be a superset scope.

2.5 Create OAuth Credentials

  1. Go to APIs & ServicesCredentials

  2. + Create CredentialsOAuth client ID

  3. Application type: Desktop app

  4. Name: anything → Create

  5. Click Download JSON on the resulting dialog

  6. Save the downloaded file as credentials.json in this project directory


3. First-Run Authentication

Run the server once manually to trigger the OAuth browser flow:

python server.py

A browser window opens. Log in with the Google account added as a test user and grant both requested permissions.

This writes token.pickle to the project directory. Subsequent runs use this token silently (auto-refreshed by Google's OAuth library).

If you change the requested scopes (e.g. add gmail.settings.basic later), the old token must be deleted:

rm token.pickle
python server.py

4. Register with AI Coding Assistants

All tools below use the same MCP stdio transport. The only difference between them is where the config file lives.

Common values to substitute throughout:

  • PYTHON → full path to the Python binary with dependencies (e.g. /home/user/.local/share/mamba/bin/python)

  • SERVER → full path to server.py (e.g. /home/user/gmail/server.py)


Claude Code

~/.claude.json:

{
  "mcpServers": {
    "gmail": {
      "type": "stdio",
      "command": "PYTHON",
      "args": ["SERVER"],
      "env": {}
    }
  }
}

~/.claude/settings.json:

{
  "mcpServers": {
    "gmail": {
      "command": "PYTHON",
      "args": ["SERVER"]
    }
  }
}

Restart Claude Code after editing.


Cursor

Global config ~/.cursor/mcp.json (or per-project .cursor/mcp.json):

{
  "mcpServers": {
    "gmail": {
      "command": "PYTHON",
      "args": ["SERVER"]
    }
  }
}

Reload via Cursor Settings → MCP or restart Cursor.


Windsurf (Codeium)

~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "gmail": {
      "command": "PYTHON",
      "args": ["SERVER"]
    }
  }
}

Reload via Windsurf Settings → MCP Servers → Refresh.


GitHub Copilot (VS Code)

VS Code 1.99+ supports MCP natively. Add to your User settings.json (Ctrl+Shift+POpen User Settings JSON):

{
  "mcp": {
    "servers": {
      "gmail": {
        "type": "stdio",
        "command": "PYTHON",
        "args": ["SERVER"]
      }
    }
  }
}

Or create a workspace-scoped .vscode/mcp.json:

{
  "servers": {
    "gmail": {
      "type": "stdio",
      "command": "PYTHON",
      "args": ["SERVER"]
    }
  }
}

Copilot picks it up automatically. No restart needed.


Cline (VS Code extension)

Open the Cline sidebar → MCP Servers tab → Edit MCP Settings.

This opens cline_mcp_settings.json. Add:

{
  "mcpServers": {
    "gmail": {
      "command": "PYTHON",
      "args": ["SERVER"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Linux path: ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json


Continue.dev

~/.continue/config.json:

{
  "mcpServers": [
    {
      "name": "gmail",
      "command": "PYTHON",
      "args": ["SERVER"]
    }
  ]
}

Or ~/.continue/config.yaml:

mcpServers:
  - name: gmail
    command: PYTHON
    args:
      - SERVER

Reload with Ctrl+Shift+PContinue: Reload Config.


Zed

~/.config/zed/settings.json:

{
  "context_servers": {
    "gmail": {
      "command": {
        "path": "PYTHON",
        "args": ["SERVER"],
        "env": {}
      },
      "settings": {}
    }
  }
}

Zed reloads context servers automatically on save.


Amazon Q Developer

~/.aws/amazonq/mcp.json:

{
  "mcpServers": {
    "gmail": {
      "command": "PYTHON",
      "args": ["SERVER"]
    }
  }
}

Restart the Q Developer extension or CLI after editing.


Goose (Block)

~/.config/goose/config.yaml:

extensions:
  gmail:
    name: gmail
    type: stdio
    cmd: PYTHON
    args:
      - SERVER
    enabled: true

Run goose session — Goose loads extensions at startup.


OpenCode (SST)

~/.config/opencode/config.json:

{
  "mcp": {
    "gmail": {
      "command": "PYTHON",
      "args": ["SERVER"]
    }
  }
}

5. Using Programmatically

Anthropic Python SDK

pip install anthropic
import anthropic

client = anthropic.Anthropic()

with client.beta.messages.stream(
    model="claude-opus-4-8",
    max_tokens=4096,
    mcp_servers=[{
        "type": "stdio",
        "command": "PYTHON",
        "args": ["SERVER"],
    }],
    messages=[{"role": "user", "content": "List my last 5 unread emails."}],
    betas=["mcp-client-2025-04-04"],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

OpenAI Agents SDK

pip install openai-agents
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStdio

async def main():
    async with MCPServerStdio(
        params={"command": "PYTHON", "args": ["SERVER"]}
    ) as mcp:
        agent = Agent(
            name="gmail-agent",
            instructions="You manage Gmail for the user.",
            mcp_servers=[mcp],
        )
        result = await Runner.run(agent, "List my last 5 unread emails.")
        print(result.final_output)

asyncio.run(main())

Claude Code CLI (subprocess / headless)

claude --mcp-config /path/to/mcp-config.json \
       -p "Summarize my unread emails from today."

mcp-config.json:

{
  "mcpServers": {
    "gmail": {
      "type": "stdio",
      "command": "PYTHON",
      "args": ["SERVER"]
    }
  }
}

Token handling in headless / CI environments

The OAuth flow requires a browser the first time. For agents running headlessly:

  1. Run the browser flow once on a machine with a display to produce token.pickle

  2. Copy token.pickle and credentials.json to the headless machine

  3. The server auto-refreshes the token via the stored refresh token — no browser needed after that

chmod 600 credentials.json token.pickle

Do not pass secrets via environment variables.


6. Available Tools

Reading

Tool

Description

list_messages

List/search messages (Gmail search syntax)

get_message

Full plain-text content of a message

get_message_html

HTML body of a message

list_threads

List conversation threads

get_thread

Full thread with all messages

list_attachments

List attachments on a message

get_attachment

Download attachment to local path

Composing & Sending

Tool

Description

send_email

Send a new email

reply_email

Reply to a thread

forward_email

Forward a message

save_draft

Save a draft

list_drafts

List drafts

delete_draft

Delete a draft

Organization

Tool

Description

trash_message

Move to trash

untrash_message

Restore from trash

delete_permanently

Delete bypassing trash

archive_message

Archive (remove from inbox)

move_to_spam

Mark as spam

mark_read

Mark as read

mark_unread

Mark as unread

star_message

Star a message

unstar_message

Unstar a message

apply_label

Apply label by ID

remove_label

Remove label by ID

batch_trash

Trash multiple messages

batch_delete_permanently

Permanently delete multiple messages

batch_archive

Archive multiple messages

batch_mark_read

Mark multiple messages read

trash_by_query

Trash all messages matching a search

archive_by_query

Archive all messages matching a search

Labels

Tool

Description

list_labels

List all labels (system + user)

create_label

Create a label (supports / for hierarchy)

delete_label

Delete a label by ID

rename_label

Rename a label

Filters

Tool

Description

list_filters

List all Gmail filters

create_filter

Create a filter (from/to/subject/query + label actions)

delete_filter

Delete a filter by ID

Account & Export

Tool

Description

get_profile

Email address, message count, storage quota

download_all_messages

Export all messages to JSON file (paginated)

get_download_status

Check progress of an ongoing export


7. Troubleshooting

403 insufficientPermissions on filter operations

The token was created without gmail.settings.basic. Delete it and re-authenticate:

rm token.pickle
python server.py

Verify SCOPES in server.py contains both scopes:

SCOPES = [
    "https://mail.google.com/",
    "https://www.googleapis.com/auth/gmail.settings.basic",
]

Token has been expired or revoked

Delete token.pickle and re-authenticate. This happens if access is revoked in Google account settings or if the app has been inactive for 6+ months in testing mode.

redirect_uri_mismatch

The OAuth client must be type Desktop app, not Web application. Delete the existing client ID and create a new one with the correct type.

MCP tools not appearing in Claude Code

  • Confirm credentials.json and token.pickle exist in the project directory

  • Run python server.py manually to check for import errors

  • Restart Claude Code after editing ~/.claude.json

  • Check that the Python path in the MCP config points to the environment where dependencies are installed

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