Enterprise DNA
M MCP Servers Developer low

MarkusPfundstein/mcp-gsuite

by Various

MCP Server to interact with Google Gsuite prodcuts

M

MCP

MarkusPfundstein/mcp-gsuite

Added 1 June 2026

Overview

An open-source MCP (Model Context Protocol) server that enables AI agents to interact with Google GSuite products. It is written in Python and exposes tools for common Google Workspace operations such as reading emails, managing calendar events, and accessing Drive files.

Best for

Best for
Developers who need to give AI agents direct access to Google Workspace data and actions

Use cases

  • Automate email responses and inbox management via Gmail API
  • Create, read, and update Google Calendar events programmatically
  • Search and retrieve documents and files from Google Drive

How to use

Install

npx -y @smithery/cli install mcp-gsuite --client claude

Tools exposed

  • uv
  • uvx

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "mcp-gsuite": {\n      "command": "uv",\n      "args": [\n        "--directory",\n        "<dir_to>/mcp-gsuite",\n        "run",\n        "mcp-gsuite"\n      ]\n    }\n  }\n}

Notes

An open-source MCP (Model Context Protocol) server that enables AI agents to interact with Google GSuite products. It is written in Python and exposes tools for common Google Workspace operations such as reading emails, managing calendar events, and accessing Drive files.

484 stars on GitHub. Last updated 2025-04-14. Licensed MIT.

Use cases

  • Automate email responses and inbox management via Gmail API
  • Create, read, and update Google Calendar events programmatically
  • Search and retrieve documents and files from Google Drive

Pros

  • Simple integration with any MCP-compatible AI client
  • Written in Python, easy to extend or customize
  • Active open-source project with a sizable community (484 stars)

Cons

  • Requires manual Google Cloud project setup and OAuth consent
  • Scope limited to Google Workspace APIs that the server exposes
  • OAuth token refresh and permission management can be complex

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

Pros

  • Simple integration with any MCP-compatible AI client
  • Written in Python, easy to extend or customize
  • Active open-source project with a sizable community (484 stars)

Cons

  • Requires manual Google Cloud project setup and OAuth consent
  • Scope limited to Google Workspace APIs that the server exposes
  • OAuth token refresh and permission management can be complex

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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