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Google Drive MCP

Access and manage Google Drive files with AI

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Maintenance status

Archived
Checked September 28, 2026

Archived: the MCP project moved this reference server to modelcontextprotocol/servers-archived and no longer maintains it.

How to Install Google Drive MCP

$npx @modelcontextprotocol/server-gdrive

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "google-drive-mcp": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/server-gdrive"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "google-drive-mcp": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/server-gdrive"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "google-drive-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "@modelcontextprotocol/server-gdrive"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add google-drive-mcp -- npx @modelcontextprotocol/server-gdrive

Add any API keys or environment variables the server's README lists.

About Google Drive MCP

Search Drive, read Docs and Sheets, and download files from AI.

Google Drive MCP is a File System MCP server designed for developers, writers, and researchers. It enables letting AI assistants read and write files on disk or in cloud storage by exposing scoped file operations as MCP tools. Key capabilities include path-scoped read and write, diff-style previews before writes, directory listing and search, and structured tool calls that work cleanly inside an LLM context. It integrates with Local disk, Google Drive, Dropbox, OneDrive, and S3-compatible storage, and is best suited for developers, writers, and researchers who need refactoring across many files.

Key Features

  • google
  • drive
  • docs
  • Path-scoped read and write
  • Diff-style previews before writes
  • Directory listing and search

Pricing

Open Source: from Free

Pros & Cons

Pros

  • Foundational for almost any non-trivial agent workflow
  • Allow-lists and previews limit risk
  • Works locally and against cloud storage

Cons

  • Misconfigured scopes are a real footgun
  • Large directories can blow up context
  • Symlink and permission edge cases

Best For

  • Refactoring across many files
  • Document drafting and stitching
  • Project-folder summarisation
  • Media and download organisation

Our Take on Google Drive MCP

OAuth setup is a bit fiddly, but the actual usage is smooth.

Alternatives to Google Drive MCP

Filesystem MCPFile System

Let AI read and write files on your local system

View Filesystem MCP →

Frequently Asked Questions

Tags

#File System#google#drive#docs