Wow this new MCP server from Google is going to change a whole lot for app developers.

Your apps are about to become so much more of something your user's actually care to use.

You'll finally be able to effortlessly understand your users without having to waste time hopelessly going through mountains of Analytics data.

Once you set up the new official Google Analytics MCP server, you'll be able to ask the AI intuitive, human-friendly questions:

  • "Which acquisition channel brings users who actually retain?”

  • "Did onboarding improve after the last release? Show me conversion by platform"

And it’ll answer using the massive amount of data sitting inside your analytics.

No more surfing through event tables and wasting time trying to interpret what numbers mean for your product. You just ask the AI exactly what you want to know.

Analytics becomes a seamless part of your workflow.

Don't ignore this.

This is the first-class, Google-supported MCP (Model Context Protocol) server for Google Analytics.

MCP is now the standard way for an AI tool (like Gemini) to connect to external systems through a set of structured “tools.”

Instead of the model guessing from vibes, the AI can call real functions like “list my GA properties” or “run a report for the last 28 days,” get actual results back, and then reason on top of those results.

So think of the Google Analytics MCP server as a bridge:

  • Your AI agent on one side

  • Your GA4 data on the other side

  • A clean tool interface in the middle

What can it do?

Under the hood, it uses the Google Analytics APIs (Admin for account/property info, Data API for reporting). In practical terms, it gives your AI the ability to:

  • list the accounts and GA4 properties you have access to

  • fetch details about a specific property

  • check things like Google…

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