Google Drive MCP
Access and manage Google Drive files with AI
How to Install Google Drive MCP
$npx @modelcontextprotocol/server-gdriveRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
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
- drive
- docs
- Path-scoped read and write
- Diff-style previews before writes
- Directory listing and search
Pricing
- Core MCP server
- Community support
- Works with any MCP client
- Everything in Free
- Higher usage limits
- Priority support
- Everything in Pro
- SLA & SSO
- Dedicated support
Tier details are indicative — visit the Google Drive MCP website for current pricing.
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
Screenshots
Screenshots coming soon —
Submit yours →Our Take on Google Drive MCP
OAuth setup is a bit fiddly, but the actual usage is smooth.
Alternatives to Google Drive MCP
Let AI read and write files on your local system
See how Google Drive MCP compares to Filesystem MCP →