giuseppe-coco/Google-Workspace-MCP-Server

Overview

An open-source MCP server written in Python that enables interaction with Google Workspace services including Calendar, Gmail, and Drive. It provides a standardized interface for AI agents or tools to read, create, and manage Google Workspace data.

Best for

Best for
Developers building AI agents or tools that need programmatic access to Google Workspace services

Use cases

• Integrating Google Calendar and Gmail with AI assistants for scheduling and email management
• Automating file operations on Google Drive through agent workflows
• Building custom tools that read and write Google Workspace data via the Model Context Protocol

How to use

Install

uv install -r requirements.txt

Tools exposed

• Gmail API
• Google Calendar API
• Google Drive API

Tested with

Claude Desktop

Example client config

{\n    "mcpServers": {\n        "GsuiteMCPServer": {\n            "command": "absolute-path-to-your-python-executable-in-virtual-environment",\n            "args": [\n                "<mcp_server.py-abs-path>"\n            ]\n        }\n    }\n}

Notes

An open-source MCP server written in Python that enables interaction with Google Workspace services including Calendar, Gmail, and Drive. It provides a standardized interface for AI agents or tools to read, create, and manage Google Workspace data.

29 stars on GitHub. Last updated 2025-07-11. Licensed MIT.

Use cases

• Integrating Google Calendar and Gmail with AI assistants for scheduling and email management
• Automating file operations on Google Drive through agent workflows
• Building custom tools that read and write Google Workspace data via the Model Context Protocol

Pros

• Open source and Python-based, easy to extend or modify
• Supports multiple Google Workspace services in one server
• Leverages the Model Context Protocol for standardized agent integration

Cons

• Low GitHub star count (29) suggests limited community adoption and testing
• Requires manual Google API setup and authentication configuration
• Documentation and examples may be sparse due to early stage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.