GA

Google Analytics MCP Server

Model Context Protocol server for Google Analytics, enabling LLMs to fetch and analyze web analytics data

Created by ruchernchong2025/03/28
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What is Google Analytics MCP Server?

what is Google Analytics MCP Server? Google Analytics MCP Server is an implementation of the Model Context Protocol that allows users to access and analyze data from Google Analytics 4 (GA4) using a TypeScript SDK. how to use Google Analytics MCP Server? To use the server, set up a Google Cloud project, enable the Analytics Data API, create a service account, and configure it with the required environment variables. Start the server and integrate it with your Claude Desktop configuration. key features of Google Analytics MCP Server? Fetch customizable page view metrics Track active and new users over time Analyze specific events and their metrics Monitor user behavior metrics, such as session duration and bounce rate Flexible date range selection for all queries use cases of Google Analytics MCP Server? Analyzing user engagement on a website over a specified period. Monitoring specific events, such as purchases and user sign-ups. Gathering insights into user acquisition and retention metrics. FAQ from Google Analytics MCP Server? What are the prerequisites for using this server? You need Node.js 20 or higher, a Google Analytics 4 property, and credentials from a Google Cloud project with the Analytics Data API enabled. Is there a specific configuration needed for Claude Desktop? Yes, you'll need to add specific environment variables and configuration settings into the Claude Desktop setup to run the server. Can I customize the metrics I want to retrieve? Yes, you can customize the dimensions and metrics according to your analytics needs.

As an MCP (Model Context Protocol) server, Google Analytics MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use Google Analytics MCP Server

To use the server, set up a Google Cloud project, enable the Analytics Data API, create a service account, and configure it with the required environment variables. Start the server and integrate it with your Claude Desktop configuration. key features of Google Analytics MCP Server? Fetch customizable page view metrics Track active and new users over time Analyze specific events and their metrics Monitor user behavior metrics, such as session duration and bounce rate Flexible date range selection for all queries use cases of Google Analytics MCP Server? Analyzing user engagement on a website over a specified period. Monitoring specific events, such as purchases and user sign-ups. Gathering insights into user acquisition and retention metrics. FAQ from Google Analytics MCP Server? What are the prerequisites for using this server? You need Node.js 20 or higher, a Google Analytics 4 property, and credentials from a Google Cloud project with the Analytics Data API enabled. Is there a specific configuration needed for Claude Desktop? Yes, you'll need to add specific environment variables and configuration settings into the Claude Desktop setup to run the server. Can I customize the metrics I want to retrieve? Yes, you can customize the dimensions and metrics according to your analytics needs.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like Google Analytics MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Google Analytics MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.