Google Analytics MCP

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.