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Google Analytics MCP

Listed
surendranb·v1.0.0·data·MIT

Connect Google Analytics 4 to Claude, Cursor, and other MCP clients. Query GA4 traffic, user behavior, and conversion data using natural language. Supports 200+ dimensions and metrics via the GA Data API.

Repository

Install on your platform

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  1. 1

    Use the upstream install command

    terminal
    $ pip install google-analytics-mcp
Repository install instructions

What we know about this skill

Publisher

surendranb

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Install target

Pinned to 791103c9

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About this skill

What it does

The Google Analytics MCP Server connects Google Analytics 4 (GA4) data to AI agents, enabling them to analyze website traffic, user behavior, and performance. It provides analysis-ready outputs through server-side aggregation, automatically discovers the schema for each GA4 property, and uses context-safe defaults to handle large datasets efficiently. This allows agents to focus on answering questions rather than data wrangling.

When to use it

  • Performance Analysis: An agent needs to analyze website traffic trends over a specific period to identify potential issues or opportunities.
  • User Behavior Insights: An agent is tasked with understanding how users interact with key pages on a website, including bounce rates and conversion paths.
  • Campaign Effectiveness: An agent requires data to assess the performance of marketing campaigns and their impact on website traffic.
  • Automated Reporting: Automate the generation of regular reports summarizing key GA4 metrics for stakeholders.

Key capabilities

  • Schema discovery for GA4 properties (dimensions & metrics)
  • Server-side aggregation of data
  • Context-safe defaults for handling large datasets
  • Compatibility with various agent runtimes (Claude, ChatGPT, Cursor, Windsurf, and custom hosts)

Example prompts

  • "What was the total number of users on our website last week?"
  • "Show me a breakdown of traffic sources for the month of July."
  • “Compare conversion rates between mobile and desktop users.”
  • "Identify pages with high bounce rates and suggest potential improvements."

Tips & gotchas

A Google Analytics 4 property with data is required. You'll also need to create a service account with access to the Google Analytics Data API and your GA4 property.

Requirements

Required binaries

python3

Environment variables

GOOGLE_APPLICATION_CREDENTIALSGA4_PROPERTY_ID

This skill expects these to be set in its environment — it will have access to their values.

Tags

google-analyticsga4analyticsseoreportingdata