mcp-server-ga4

Overview

This MCP server provides seamless integration between large language models and Google Analytics 4 data, allowing LLMs to run reports, access real-time data, and retrieve metadata through the GA4 Data API. It features secure authentication using Google Cloud's Application Default Credentials and supports customizable reports with various dimensions, metrics, and date ranges. The server is designed for easy deployment and can be configured via command line arguments or environment variables.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• run-report

  Runs a standard GA4 report with configurable metrics, dimensions, and date ranges.

  Try:What were the top 5 countries by active users in the last 30 days?Try:Show me sessions and bounce rate for the past 7 days
• run-realtime-report

  Gets real-time data for the past 30 minutes.

  Try:How many users are currently active on the site?Try:Show me real-time page views by country
• get-metadata

  Retrieves available metrics and dimensions for a GA4 property.

  Try:What metrics are available for me to query in GA4?Try:Show me all available dimensions for my property

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Installation

pip install mcp-server-ga4

gcloud auth application-default login

{
    "mcpServers": {
        "ga4": {
            "command": "mcp-server-ga4",
            "args": ["--property-id", "YOUR_GA4_PROPERTY_ID"]
        }
    }
}

FAQ

How do I authenticate with Google Analytics?

The server uses Google Cloud's Application Default Credentials (ADC). Run 'gcloud auth application-default login' to set up authentication after enabling the Google Analytics Data API in your Google Cloud project.

What data can I access with this server?

You can run standard GA4 reports with custom dimensions and metrics, access real-time data for the past 30 minutes, and retrieve metadata about available metrics and dimensions for your GA4 property.

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