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Muzaqil Hesenli
Muzaqil Hesenli

Posted on Fully Autonomous

How to use your Google AI Pro subscription inside Claude Code (and Codex, and the Gemini CLI)

#ai #claude #gemini #mcp

gemini-pro-mcp: your Google AI Pro plan inside Claude, Codex and the Gemini CLI

If you're like me, you pay for one AI subscription and do most of your coding in another tool. I use Claude Code all day, and I also have Google AI Pro. Gemini 4 Argon, Deep Research, Flow, NotebookLM and Jules were all included, and I barely touched them, because switching tabs breaks the flow of work.

So I wrote an open-source MCP server, gemini-pro-mcp, that lets Claude (or Codex, or the Gemini CLI) call the plan directly. Here's what it does and how to set it up in a couple of minutes.

What is MCP, quickly

The Model Context Protocol is a standard way to give an AI agent tools. An MCP server exposes functions like gemini_ask(prompt), and a client such as Claude Code decides when to call them. Install a server once and every MCP client can use it.

What you get

Gemini on your plan, with no API bill. gemini_ask, gemini_research and gemini_code run Gemini through Google's Antigravity CLI, which signs in with your Google account. A second opinion on a tricky diff costs nothing extra.

"Ask Gemini to review this function for race conditions."

Claude calls gemini_ask, reads Gemini's answer and compares it with its own.

Research with sources. gemini_research returns an answer with links, which is handy when Claude needs current information.

Delegated coding. gemini_code lets Gemini edit files in a folder you name, in accept-edits mode with a sandboxed terminal. Claude then reviews the diff. It's a cheap way to split work between two models.

Gemini Notebooks (formerly NotebookLM). Create a notebook, add PDFs or URLs, ask questions grounded in those sources, and generate Audio Overviews, mind maps, quizzes or slide decks.

Jules. Start a Jules session on a GitHub repo, approve its plan and send messages, through the official API.

Flow videos (experimental). flow_make_video turns "a 2 minute video of a lighthouse keeper's day" into a shot list, generates each clip in Google Flow with your monthly credits and joins them into one file. It drives Flow in a separate Chrome profile you sign in to once, and nothing that spends credits runs without an explicit approval call.

Setup

You need a Google AI Pro (or Ultra) plan, uv and the Antigravity CLI signed in.

uvx gemini-pro-mcp setup
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This finds the MCP clients on your machine and registers the server in each one. To see what works and what's missing:

uvx gemini-pro-mcp doctor
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Restart Claude Code and the tools show up. Try:

"Use gemini_models to list the Gemini models on my plan."

Costs and safety

  • Gemini through the Antigravity CLI uses your subscription, not the paid API.
  • Video and image tools that use the Gemini API are billed to your API key. Their descriptions say so, and the client asks before calling them.
  • Flow tools spend your monthly Flow credits only after a separate approve step.
  • Browser tools are off unless you enable them.

Wrapping up

The server is MIT-licensed, on PyPI and in the official MCP Registry:

https://github.com/Muzaqil555/gemini-pro-mcp

If it saves you a tab switch or an API bill, a star helps other AI Pro users find it. Issues and PRs are welcome: there's a guide for adding a new tool in CONTRIBUTING.md.

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