gg-mcp

gg-mcp

A Model Context Protocol (MCP) server that connects AI agents to Google Workspace (Gmail, Calendar, Drive, Docs, Sheets, and Slides).

Category
Visit Server

README

Google Cloud MCP - Google Workspace MCP Server (gg-mcp)

PyPI License: MIT Python 3.12+ Docker Support

A Model Context Protocol (MCP) server that connects AI agents to Google Workspace: Gmail, Calendar, Drive, Docs, Sheets, and Slides. Built with FastMCP.

# Install and run — that's it
uvx gg-mcp

ļæ½ Table of Contents

  1. Quick Start (5 minutes)
  2. Available Tools
  3. Installation Options
  4. Environment Variables
  5. Troubleshooting
  6. Documentation
  7. Development

šŸš€ Quick Start (5 minutes)

Step 1: Get Google OAuth Credentials

  1. Go to Google Cloud Console
  2. Create a project and enable OAuth consent screen (External type)
  3. Add required scopes (Gmail, Drive, Calendar, Docs, Sheets, Slides)
  4. Create OAuth 2.0 Desktop app credentials
  5. Copy Client ID and Client Secret

šŸ“– Detailed guide →

Step 2: Install & Run

export GOOGLE_CLIENT_ID="your-client-id.apps.googleusercontent.com"
export GOOGLE_CLIENT_SECRET="your-client-secret"
uvx gg-mcp

You'll see:

============================================================
šŸ” GOOGLE ACCOUNT AUTHENTICATION
šŸ“± Open your browser: http://localhost:3838
============================================================

Open http://localhost:3838 → "Authorize with Google" → Grant permissions āœ…

Step 3: Configure MCP Client

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "gg-mcp": {
      "command": "uvx",
      "args": ["gg-mcp"],
      "env": {
        "GOOGLE_CLIENT_ID": "your-client-id.apps.googleusercontent.com",
        "GOOGLE_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Restart Claude Desktop and the tools are ready to use! šŸŽ‰

šŸ“– 25+ client configs →


šŸ“‹ Available Tools (30+)

Account

  • get_account_info - Get the email of the authenticated Google account

Gmail

  • send_email - Send an email (to, subject, body)
  • create_gmail_label - Create a new Gmail label
  • list_gmail_labels - List all user-created labels

Google Calendar

  • list_calendar_events - List upcoming events (max_results, days_back)
  • create_calendar_event - Create an event (summary, start_time, end_time)

Google Drive

  • list_drive_folders - List all folders in Google Drive (root or specific parent)
  • search_drive - Search files by query string

Google Docs

  • create_document - Create a new document with optional text
  • get_document - Get the full text content of a document
  • append_to_document - Append text to document end
  • search_documents - Search for documents in Drive
  • export_document - Export document (text, html, pdf, docx)

Google Sheets

  • create_spreadsheet - Create a new spreadsheet
  • read_spreadsheet - Read data from a range
  • update_spreadsheet - Update cells with JSON 2D array
  • append_to_spreadsheet - Append rows to spreadsheet
  • search_spreadsheets - Search for spreadsheets in Drive
  • get_spreadsheet_info - Get metadata and dimensions
  • clear_spreadsheet_range - Clear all values in a range
  • batch_update_spreadsheet - Batch update multiple ranges
  • add_sheet - Add a new sheet/tab
  • export_spreadsheet - Export (csv, xlsx, pdf, tsv)

Google Slides

  • create_presentation - Create a new presentation
  • get_presentation - Get slide metadata and content
  • add_slide - Add a new slide with layout selection
  • add_text_to_slide - Add a text box to slide
  • search_presentations - Search for presentations
  • delete_slide - Delete a slide by index
  • export_presentation - Export (pdf, pptx, txt)

šŸš€ Quick Start (5 minutes)

Step 1: Get Google OAuth Credentials

  1. Go to Google Cloud Console
  2. Create a project and enable OAuth consent screen (External type)
  3. Add required scopes (Gmail, Drive, Calendar, Docs, Sheets, Slides)
  4. Create OAuth 2.0 Desktop app credentials
  5. Copy Client ID and Client Secret

šŸ“– Detailed guide →

Step 2: Install & Run

export GOOGLE_CLIENT_ID="your-client-id.apps.googleusercontent.com"
export GOOGLE_CLIENT_SECRET="your-client-secret"
uvx gg-mcp

You'll see:

============================================================
šŸ” GOOGLE ACCOUNT AUTHENTICATION
šŸ“± Open your browser: http://localhost:3838
============================================================

Open http://localhost:3838 → "Authorize with Google" → Grant permissions āœ…

Step 3: Configure MCP Client

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "gg-mcp": {
      "command": "uvx",
      "args": ["gg-mcp"],
      "env": {
        "GOOGLE_CLIENT_ID": "your-client-id.apps.googleusercontent.com",
        "GOOGLE_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

šŸ“– 25+ client configs →


šŸ“¦ Installation Options

Option A: PyPI (Recommended)

pip install gg-mcp
export GOOGLE_CLIENT_ID="..."
export GOOGLE_CLIENT_SECRET="..."
gg-mcp

Option B: From Source

git clone https://github.com/tannht/google-cloud-mcp.git
cd google-cloud-mcp
uv sync
export GOOGLE_CLIENT_ID="..."
export GOOGLE_CLIENT_SECRET="..."
uv run main.py

Option C: Docker

git clone https://github.com/tannht/google-cloud-mcp.git
cd google-cloud-mcp
docker-compose up -d --build

šŸ”‘ Environment Variables

Variable Required Default Purpose
GOOGLE_CLIENT_ID Yes — OAuth 2.0 Client ID
GOOGLE_CLIENT_SECRET Yes — OAuth 2.0 Client Secret
GOOGLE_TOKEN_PATH No .token.json Token file path
GOOGLE_TOKEN_JSON No — Token as JSON string
AUTH_PORT No 3838 Auth portal port

ā“ Troubleshooting

Problem Solution
403: access_denied Add your email to Test users in OAuth consent screen
401: Invalid credentials Verify GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET
Token expired Delete .token.json and re-authenticate
Can't access http://localhost:3838 Port 3838 in use. Try AUTH_PORT=8080
403: API not enabled Enable APIs in Google Cloud Console

šŸ“– Full troubleshooting →


šŸ“š Documentation


šŸ› ļø Development

git clone https://github.com/tannht/google-cloud-mcp.git
cd google-cloud-mcp
uv sync --group dev
uv run pytest -v  # Run tests

šŸ“– Dev setup →


šŸ“„ License

MIT

šŸ‘„ Contributors

  • Hoang Tan (Owner)
  • PubPug Assistant (Primary Developer)

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured