jikime
MCP Serverjikimepublic

py mcp google toolbox

一个为AI助手提供与谷歌服务交互功能的MCP服务器,包括Gmail、日历、云端硬盘和搜索。

Repository Info

8
Stars
8
Forks
8
Watchers
2
Issues
Python
Language
-
License

About This Server

一个为AI助手提供与谷歌服务交互功能的MCP服务器,包括Gmail、日历、云端硬盘和搜索。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

py-mcp-google-toolbox

smithery badge !Version !License

An MCP server that provides AI assistants with powerful tools to interact with Google services, including Gmail, Google Calendar, Google Drive, and Google Search.

Google Toolbox MCP server

Overview

py-mcp-google-toolbox provides the following Google-related functionalities:

  • Gmail operations (read, search, send, modify)
  • Google Calendar management (events creation, listing, updating, deletion)
  • Google Drive interactions (search, read files)
  • Google Search integration (search web)

Table of Contents

  • Prerequisites
  • Installation
  • Configure MCP Settings
  • Tools Documentation
    • Gmail Tools
    • Calendar Tools
    • Drive Tools
    • Search Tools
  • Development
  • License

Prerequisites

  1. Python: Install Python 3.12 or higher
  2. Google Cloud Console Setup:
    • Go to Google Cloud Console
    • Create a new project or select an existing one
    • Enable the Service API:
      1. Go to "APIs & Services" > "Library"
      2. Search for and enable "Gmail API"
      3. Search for and enable "Google Calendar API"
      4. Search for and enable "Google Drive API"
      5. Search formand enable "Custom Search API"
    • Set up OAuth 2.0 credentials from GCP:
      1. Go to "APIs & Services" > "Credentials"
      2. Click "Create Credentials" > "OAuth client ID"
      3. Choose "Web application"
      4. Note down the Client ID and Client Secret
        • Client ID
        • Client Secret
      5. download secret json and rename to credentials.json
    • Generate an API key
  3. Go to Custom Search Engine and get its ID

Installation

Git Clone

git clone https://github.com/jikime/py-mcp-google-toolbox.git
cd py-mcp-google-toolbox

Configuration

  1. Install UV package manager:
curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Create and activate virtual environment:
uv venv -p 3.12
source .venv/bin/activate  # On MacOS/Linux
# or
.venv\Scripts\activate  # On Windows
  1. Install dependencies:
uv pip install -r requirements.txt
  1. Get refresh token (if token is expired, you can run this)
uv run get_refresh_token.py

This will:

  • Open your browser for Google OAuth authentication
  • Request the following permissions:
    • https://www.googleapis.com/auth/gmail.modify
    • https://www.googleapis.com/auth/calendar
    • https://www.googleapis.com/auth/gmail.send
    • https://www.googleapis.com/auth/gmail.readonly
    • https://www.googleapis.com/auth/drive
    • https://www.googleapis.com/auth/drive.file
    • https://www.googleapis.com/auth/drive.readonly
  • Save the credentials to token.json
  • Display the refresh token in the console
  1. Environment variables:
cp env.example .env
vi .env
# change with your key
GOOGLE_API_KEY=your_google_api_key
GOOGLE_CSE_ID=your_custom_search_engine_id
GOOGLE_CLIENT_ID=your_google_client_id
GOOGLE_CLIENT_SECRET=your_google_client_secret
GOOGLE_REFRESH_TOKEN=your_google_refresh_token
  1. copy credentials.json to project root folder (py-mcp-google-toolbox)

Using Docker

  1. Build the Docker image:
docker build -t py-mcp-google-toolbox .
  1. Run the container:
docker run py-mcp-google-toolbox

Using Local

  1. Run the server:
mcp run server.py
  1. Run the MCP Inspector
mcp dev server.py

Configure MCP Settings

Add the server configuration to your MCP settings file:

Claude desktop app

  1. To install automatically via Smithery:
npx -y @smithery/cli install @jikime/py-mcp-google-toolbox --client claude
  1. To install manually open ~/Library/Application Support/Claude/claude_desktop_config.json

Add this to the mcpServers object:

{
  "mcpServers": {
    "Google Toolbox": {
      "command": "/path/to/bin/uv",
      "args": [
        "--directory",
        "/path/to/py-mcp-google-toolbox",
        "run",
        "server.py"
      ]
    }
  }
}

Cursor IDE

open ~/.cursor/mcp.json

Add this to the mcpServers object:

{
  "mcpServers": {
    "Google Toolbox": {
      "command": "/path/to/bin/uv",
      "args": [
        "--directory",
        "/path/to/py-mcp-google-toolbox",
        "run",
        "server.py"
      ]
    }
  }
}

for Docker

{
  "mcpServers": {
    "Google Toolbox": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "py-mcp-google-toolbox"
      ]
    }
  }
}

Tools Documentation

Gmail Tools

  • list_emails: Lists recent emails from Gmail inbox with filtering options
  • search_emails: Performs advanced Gmail searches with detailed email content retrieval
  • send_email: Composes and sends emails with support for CC, BCC recipients
  • modify_email: Changes email states (read/unread, archived, trashed) by modifying labels

Calendar Tools

  • list_events: Retrieves upcoming calendar events within specified time ranges
  • create_event: Creates new calendar events with attendees, location, and description
  • update_event: Modifies existing calendar events with flexible parameter updating
  • delete_event: Removes calendar events by event ID

Drive Tools

  • read_gdrive_file: Reads and retrieves content from Google Drive files
  • search_gdrive: Searches Google Drive for files with customizable queries

Search Tools

  • search_google: Performs Google searches and returns formatted results

Development

For local testing, you can use the included client script:

# Example: List emails
uv run client.py list_emails max_results=5 query="is:unread"

# Example: Search emails
uv run client.py search_emails query="from:test@example.com"

# Example: Send email
uv run client.py send_email to="test@example.com" subject="test mail" body="Hello"

# Example: Modify email
uv run client.py modify_email id=MESSAGE_ID remove_labels=INBOX add_labels=ARCHIVED

# Example: List events
uv run client.py list_events time_min=2025-05-01T00:00:00+09:00 time_max=2025-05-02T23:59:59+09:00 max_results=5

# Example: Create event
uv run client.py create_event summary="new event" start=2025-05-02T10:00:00+09:00 end=2025-05-02T11:00:00+09:00 attendees="user1@example.com,user2@example.com"

# Example: Update event
uv run client.py update_event event_id=EVENT_ID summary="update event" start=2025-05-02T10:00:00+09:00 end=2025-05-02T11:00:00+09:00 attendees="user1@example.com,user2@example.com"

# Example Delete event
uv run client.py delete_event event_id=EVENT_ID

# Example: Search Google
uv run client.py search_google query="what is the MCP?"

# Example: Search Google Drive
uv run client.py search_gdrive query=mcp

# Example: Read file
uv run client.py read_gdrive_file file_id=1234567890

License

MIT License

Quick Start

1

Clone the repository

git clone https://github.com/jikime/py-mcp-google-toolbox
2

Install dependencies

cd py-mcp-google-toolbox
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerjikime
Repopy-mcp-google-toolbox
LanguagePython
License-
Last fetched8/10/2025

Recommended MCP Servers

💬

Discord MCP

Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.

integrationsdiscordchat
🔗

Knit MCP

Connect AI agents to 200+ SaaS applications and automate workflows.

integrationsautomationsaas
🕷️

Apify MCP Server

Deploy and interact with Apify actors for web scraping and data extraction.

apifycrawlerdata
🌐

BrowserStack MCP

BrowserStack MCP Server for automated testing across multiple browsers.

testingqabrowsers

Zapier MCP

A Zapier server that provides automation capabilities for various apps.

zapierautomation