Google Drive MCP Server
Read, list, and search your Google Drive from any MCP-compatible AI client.
Individual developers and small teams who want to ground Claude or another MCP client in their personal or shared Google Drive without building a custom connector.
Enterprises needing supported, write-capable, or audit-logged Drive access, or anyone uncomfortable running an archived, unmaintained OSS server.
Google Drive MCP Server is a reference Model Context Protocol implementation from the official modelcontextprotocol organization that lets an MCP-aware AI client (Claude Desktop, Cursor, VS Code, Continue, or any custom agent) list, search, and read files stored in a user's Google Drive. It exposes a single `search` tool that runs a Drive query and returns matching file names with MIME types, plus a `gdrive:///<file_id>` resource scheme so the model can fetch the contents of any file the authenticated user can see. Native binary files come through untouched, while Google Workspace formats are auto-converted for the LLM: Docs render to Markdown, Sheets to CSV, Slides to plain text, and Drawings to PNG - a small but genuinely useful piece of glue that saves you from writing your own Docs-to-text pipeline. Installation is straightforward via the `@modelcontextprotocol/server-gdrive` npm package, an official `mcp/gdrive` Docker image, or a one-click VS Code button. Auth is standard OAuth 2.0: create a Google Cloud project, enable the Drive API, set up an OAuth consent screen and a desktop-app client, then run `node ./dist auth` to cache credentials locally (Docker users mount their keys and a credentials volume). Typical workflows include grounding a Claude conversation in a folder of meeting notes, letting an agent pull the latest spec doc into a coding session, summarising a spreadsheet without downloading it, or wiring Drive into a broader multi-server MCP setup alongside GitHub, Slack, or a vector store. Important context: the repo was archived by the maintainers on 29 May 2025 and moved into `servers-archived`, so no further updates or bug fixes are expected from Anthropic - it still works, but you're now maintaining a fork if anything breaks.
A tidy reference server that does exactly one job - read and search Drive from an MCP client - and does it well. The archival on 29 May 2025 is the real story: it still runs, but treat it as sample code you now own, not a supported product. Fine for hobby setups; fork it (or pick a maintained community alternative) if it's touching real work.
— The AI Tool Bible editorial team
Pros
- ✅ Official reference implementation - clean, minimal code that's easy to audit or fork.
- ✅ Auto-converts Google Docs, Sheets, Slides, and Drawings to LLM-friendly formats out of the box.
- ✅ Works with any MCP client (Claude Desktop, Cursor, VS Code, Continue, custom agents).
- ✅ Three install paths: npx, Docker, and one-click VS Code - no build step required for most users.
- ✅ MIT-licensed and open source, so you can fork and extend it freely.
- ✅ Standard OAuth 2.0 with local credential storage - no third-party broker in the loop.
Cons
- ⚠️ Archived on 29 May 2025 - no upstream maintenance, security fixes, or new features from Anthropic.
- ⚠️ Read-only: no create, edit, move, share, or delete operations on Drive files.
- ⚠️ OAuth setup is fiddly - you have to stand up a Google Cloud project and consent screen yourself.
- ⚠️ Search returns only names and MIME types, not snippets or ranked relevance.
- ⚠️ No native folder-scoping, permission filtering, or workspace-account controls beyond what the OAuth token grants.
Use cases
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