Google Analytics logo — MCP server on Gumloop

Google Analytics MCP Server

Connect to the Google Analytics MCP server to run GA4 reports, pull realtime and audience data, send server-side events, and automate property admin using AI agents on Gumloop, Claude, or Cursor.

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Installation

Set up the Google Analytics MCP server in Gumloop

Do this once to provision your hosted server URL.

1

Create a Gumloop account

To use this MCP, you need a Gumloop account. If you don't have one yet, sign up and start a 14-day free trial.

2

Add and authorize the Google Analytics server

In Gumloop, open Connectors and add Google Analytics. You'll be sent to Google Analytics's sign-in screen to grant access. The credential is stored securely in Gumloop.

Then use it in your client

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1

Use Google Analytics in an agent

Once Google Analytics is set up, just open any Gumloop agent, add Google Analytics as a connector, and start chatting with the agent.

Tools (50)

  • Run Report

    Run 1-5 Google Analytics reports and get back users, sessions, pageviews, and other metrics.

  • Run Realtime Report

    Get real-time Google Analytics data for events in the last 30 minutes.

  • Check Compatibility

    Check which dimensions and metrics can be combined in a Google Analytics report.

  • Get Metadata

    List all dimensions and metrics available for Google Analytics reports on a property.

  • Create Audience Export

    Start an export of users in a Google Analytics audience.

  • List Audience Exports

    List audience exports for a Google Analytics property.

  • Get Audience Export

    Check the status of a Google Analytics audience export.

  • Query Audience Export

    Download the users from a completed Google Analytics audience export.

  • List Account Summaries

    List your Google Analytics accounts along with the websites and apps tracked in each.

  • List Accounts

    List your Google Analytics accounts.

  • Get Account

    Get details of a Google Analytics account.

  • Update Account

    Rename a Google Analytics account or change its region.

What is Google Analytics MCP?

The Google Analytics MCP server gives AI agents access to your GA4 data and admin settings. That means agents can run reports on users, sessions, pageviews, and conversions by any dimension and date range, pull realtime activity from the last 30 minutes, check which dimensions and metrics combine, read the full metadata catalog for a property, export and download users from existing audiences, and send server-side events through the Measurement Protocol. It also reaches the GA4 admin surface, so agents can create and update properties, data streams, key events, and custom dimensions and metrics.

If your team spends time clicking through the GA4 UI to build recurring weekly reports, copying numbers into spreadsheets, or hand-provisioning properties and conversions for every new site, an AI agent can take over that busywork. Describe what you need, and your AI agent will handle the GA4 reporting and admin for you.

MCP stands for Model Context Protocol. It’s an open standard that gives AI agents a way to connect to external tools and services. Instead of registering a GCP project, configuring an OAuth consent screen, juggling client IDs and service-account keys, and coding against the GA4 Data and Admin APIs yourself, you connect your Google account to Gumloop once. After that, you can run reports and manage your GA4 setup just by chatting with your AI agent.

Related MCP servers

What you can do with Google Analytics MCP on Gumloop

  • Run GA4 reports by any dimension and date range

    Run standard GA4 reports on users, sessions, pageviews, conversions, and other metrics, broken down by the dimensions and date ranges you ask for. Your AI agent can pull a traffic-by-channel report or a top-pages digest without you touching the GA4 UI.

  • Pull realtime and access reports

    Get a realtime report of events from the last 30 minutes to see what’s happening on your site right now. Run an access report to see who viewed account or property data and when, so you have an audit trail on hand.

  • Check compatibility and read metadata

    Check which dimensions and metrics can be combined before you run a report, and pull the full metadata catalog of available dimensions and metrics for a property. Your agent can validate a report request and fix it automatically.

  • Export and download audience users

    Start an export of users from an existing GA4 audience, check the export status, and download the resulting user list once it’s ready. Useful for handing segments to downstream activation or analysis. Note that this exports users from audiences you already built; it does not create audiences.

  • Send server-side events with the Measurement Protocol

    Send, validate, or send-and-validate server-side events through the Measurement Protocol. Gumloop fetches or creates the API secret and stream identifiers for you, so an agent can log conversions or custom events from the backend.

  • Provision and manage properties and accounts

    List accounts and account summaries, read accounts and properties, then create new properties, rename them, update timezone, currency, and industry, and move properties or accounts to the trash. Read data-sharing settings on an account when you need them.

  • Configure data streams, key events, and custom definitions

    Create, update, and delete web, iOS, and Android data streams. Mark events as conversions with key events, adjust their counting and default value, and create, update, or archive custom dimensions and metrics for a property.

  • Manage links and data-collection settings

    List, create, update, and delete Google Ads links and Firebase links for a property. Read and update data-retention settings, and acknowledge Google’s user-data-collection terms when a property requires it.

How to connect the Gumloop Google Analytics MCP Server

  1. 1

    Create a Gumloop account

    Sign up at gumloop.com. Every new account starts with a 14-day free trial.

  2. 2

    Add the Google Analytics MCP server

    Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.

  3. 3

    Start using Google Analytics in your AI workflows

    That's it. Your AI agent can now run GA4 reports, pull realtime and audience data, send server-side events, and manage properties, data streams, key events, and custom definitions. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.

Google Analytics MCP use cases

Automated weekly traffic reports for marketers

A Gumloop agent can run GA4 reports on sessions, users, and conversions by channel and landing page, compare them to the prior week, summarize what moved, and post the digest to Slack or write it into a Google Sheet. Marketers get a current report every Monday without opening GA4.

Realtime launch monitoring for growth teams

During a product launch or campaign, an agent can pull the realtime report every few minutes, watch active users and key events, and alert the team in Slack when traffic spikes or a conversion goal starts firing. Growth teams catch problems while they can still act on them.

New-property provisioning for agencies

When an agency onboards a client, an agent can create a GA4 property, set its timezone and currency, add a web data stream, create the key events that mark conversions, and define the custom dimensions the client needs. Setup that used to take an afternoon of clicking runs from a single request.

Server-side conversion tracking for developers

An agent can send server-side events through the Measurement Protocol when a backend action completes, like a paid invoice or a completed signup, and validate the payload first. Developers log conversions GA4 can’t see from the browser, without writing their own Measurement Protocol client.

Audience export to activation for RevOps

After a campaign, an agent can export users from an existing GA4 audience, download the list once it’s ready, and push it into a CRM, ad platform, or Google Sheet for follow-up. RevOps moves segments downstream without manual CSV exports.

Why use Gumloop for Google Analytics MCP

  • No GCP project or OAuth wrangling

    Most Google Analytics MCP servers you’ll find on GitHub make you register a GCP project, configure an OAuth consent screen, manage a client ID and secret, or set up service-account credentials. With Gumloop you just connect your Google account once and your tokens refresh automatically. No consent-screen setup, credential files, or coding against the GA4 API necessary.

  • Works with multiple MCP clients

    Use the Google Analytics MCP server endpoint in Claude Desktop, Cursor, or directly inside Gumloop agents. Same server URL, works with any MCP client.

  • Chain Google Analytics with 100+ other integrations

    Combine Google Analytics with Slack, Google Sheets, Google Ads, and other MCP tools in a single AI agent. An agent can run a GA4 report, summarize it with an LLM, and write the result to a sheet or post it to Slack.

  • Enterprise-grade and scalable

    Built for teams, with role-based permissions and dedicated support for Pro users. For details on Gumloop’s security practices, see trust.gumloop.com.

  • Pricing with a free trial

    You can test the Google Analytics MCP integration during Gumloop’s 14-day free trial before committing. Paid plans start at $37/month.

Frequently asked questions

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