What file types can gdrive_read_file read?

Text-based files in your synced Google Drive folder: plain text (.txt), Markdown (.md), CSV, JSON, and source code files such as .py, .js, .ts and .swift. It reads the actual contents so the AI can summarize or analyze them.

Does my Google Drive data get uploaded anywhere?

No. LMCP runs entirely on your Mac and reads the file already synced locally. There are no API keys and no copy of your documents stored on any server. Only the AI's answer is returned.

Which AI assistants can use this tool?

Claude Desktop, Cursor, VS Code (GitHub Copilot), Windsurf and Zed connect locally via stdio. Web assistants ChatGPT, Claude.ai, Grok and Perplexity connect through the LMCP Cloud Relay connector.

Do I need a Google API key or OAuth setup?

No. gdrive_read_file works against the Google Drive folder already synced to your Mac by the Drive app, so there are no keys, scopes or cloud configuration to manage.

Read Google Drive Files with AI on Mac (Free)

The gdrive_read_file tool lets your AI assistant open and read a text-based file straight from your synced Google Drive folder on your Mac. It handles plain text, Markdown, CSV, JSON and code files (.py, .js, .ts, .swift and more) — so the AI can quote, summarize or analyze the actual contents instead of guessing. You just point at the file in natural language and the AI reads it locally.

A typical prompt looks like this: "Read Projects/Q3-plan.md from my Google Drive and give me a 5-bullet summary." The AI calls gdrive_read_file, pulls the real text off your disk, and answers from the genuine document.

Which AI agents work?

LMCP exposes 150+ tools, including gdrive_read_file, to every major MCP-capable assistant:

Desktop clients — Claude Desktop, Cursor, VS Code (GitHub Copilot), Windsurf and Zed auto-configure over a local stdio connection. No tokens, no setup files to hand-edit.
Web AIs — ChatGPT, Claude.ai (web), Grok and Perplexity connect through the LMCP Cloud Relay connector, which securely bridges the web assistant to the server running on your Mac.

Whichever you use, the file never leaves your machine — only the answer does.

Automation

gdrive_read_file is a building block. Chain it with other LMCP tools for end-to-end workflows: read a CSV from Drive and have the AI draft an email summary with the Mail tools; pull a Markdown spec and turn it into Reminders or Calendar events; read a JSON config and cross-check it against a file on your Desktop with the Finder tools; or read meeting notes from Drive and post the highlights to Slack or Teams. The AI orchestrates the steps; you just describe the outcome.

Context

Because LMCP runs on your Mac and reads your real synced Google Drive folder, the AI works with your actual documents — current versions, your folder structure, your naming. There is no stale upload, no copy-paste, no re-explaining what a file contains. The assistant sees what you see, which makes its answers grounded and specific to your work.

Productivity

Instead of opening Drive in a browser, hunting for a file, downloading it and pasting chunks into a chat, you ask once and get the answer. Summarizing a long spec, extracting figures from a CSV, or reviewing a code file becomes a single sentence. For anyone who lives in Google Drive, that is minutes saved on every lookup and far less context-switching across a day.

Privacy & GDPR

Everything runs locally on your Mac. gdrive_read_file reads the file already synced to your disk — no API keys, no third-party servers, and no copy of your documents stored anywhere by LMCP. Your data stays under your control by design. Read more about why this is GDPR-compliant by architecture.

Download LMCP and let your AI read your Google Drive files in seconds.