How does it facilitate AI-driven analytics?

It provides tools consumable by LLMs, integrating directly with platforms like Gemini CLI and Gemini Code Assist for natural language interaction and automated data analysis.

Which Google Analytics APIs does this server use?

It leverages both the Google Analytics Admin API for configuration data and the Google Analytics Data API for comprehensive reporting, including real-time data.

What types of Google Analytics data can be accessed?

You can retrieve account and property details, run core and real-time reports, and fetch custom dimensions and metrics for specific Google Analytics properties.

What is the Google Analytics MCP Server?

It's a local Model Context Protocol (MCP) server that integrates Google Analytics APIs, offering LLM-consumable tools for AI-driven interaction with your analytics data.

Google Analytics

Name: Google Analytics
Author: googleanalytics

bygoogleanalytics

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1,539

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Data Science & ML

API Development

Analytics & Monitoring

Integrates Google Analytics APIs with a local Model Context Protocol (MCP) server to provide LLM-consumable tools for analytics data.

This experimental server bridges the powerful Google Analytics Admin and Data APIs with the Model Context Protocol (MCP), enabling Large Language Models (LLMs) to directly interact with and extract insights from your Google Analytics data. It offers a specialized suite of tools designed for LLMs to retrieve comprehensive account and property information, execute core and realtime reports, and access custom dimensions and metrics, thereby streamlining data analysis and configuration for AI-driven applications.

Key Features

01Run Google Analytics core reports using the Data API

02Retrieve custom dimensions and metrics for a specific property

03Run Google Analytics realtime reports using the Data API

04Integrates with Gemini CLI and Gemini Code Assist for AI-driven interaction

05554 GitHub stars

06Retrieve Google Analytics account and property information (summaries, details, Google Ads links)

Use Cases

01Query Google Analytics property details and configurations using natural language prompts

02Automate reporting and data extraction from Google Analytics using LLMs

03Analyze popular events or user behavior trends within Google Analytics properties