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Ruchernchong MCP Server Google Analytics

A Google Analytics 4 data access server based on the Model Context Protocol, providing functions such as page views, user activity, event analysis, and user behavior monitoring.
2 points
21

What is the Google Analytics MCP Server?

This is an MCP server implementation specifically designed for Google Analytics 4 (GA4), allowing users to access GA4 data through a standardized protocol without directly dealing with complex API calls. It simplifies the process of obtaining website analysis data, especially suitable for scenarios where analysis data needs to be integrated into other systems.

How to use the Google Analytics MCP Server?

Before use, you need to configure the Google Cloud project and service account permissions. After installation, various types of analysis data, such as page views and user behavior, can be obtained through simple JSON requests. The server will automatically handle complex interactions with the Google Analytics API after running.

Use cases

Suitable for business scenarios that require regular acquisition of website analysis data, such as marketing analysis, user behavior tracking, and content effectiveness evaluation. Particularly suitable for enterprises that need to integrate analysis data with other business systems.

Main Features

Page Views StatisticsGet page view data within a specified date range, supporting grouping by dimensions such as page and country.
User TrackingTrack the changing trends of the number of active and new users.
Event AnalysisAnalyze indicator data of specific events (e.g., purchases).
User Behavior MetricsGet user behavior metrics such as session duration and bounce rate.
Flexible Date RangeSupport custom date range queries for all types of data.

Advantages and Limitations

Advantages
Simplifies the complex calling process of the GA4 API
Provides a standardized data access interface
Supports flexible combinations of dimensions and indicators
Easy to integrate into existing systems
Limitations
Requires Google Cloud project and service account configuration
Data processing delay depends on the GA4 API
Some advanced analysis functions may require direct use of the GA4 interface

How to Use

Environment Preparation
Ensure that Node.js 20 or a higher version is installed, and prepare a Google Cloud project and GA4 property.
Set Environment Variables
Configure service account credentials and GA4 property ID.
Install the Server
Install the MCP server using a package manager.
Start the Server
Run the server to prepare to receive requests.

Usage Examples

Analyze Marketing Campaign EffectivenessCompare page views and user engagement during a marketing campaign with normal times.
Track User RetentionAnalyze the proportion of new users converted into active users.
Optimize Key Conversion PathsAnalyze the conversion rate of each step in the purchase process.

Frequently Asked Questions

How to obtain Google Cloud service account credentials?
Why does the data returned by the query differ from that shown on the GA4 interface?
What combinations of dimensions and indicators are supported?
How to ensure data security?

Related Resources

Google Analytics Data API Documentation
Official API documentation, including all available dimensions and indicators.
GitHub Repository
Project source code and issue tracking.
Model Context Protocol Introduction
Official documentation of the MCP protocol.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "google-analytics": {
      "command": "npx",
      "args": ["-y", "mcp-server-google-analytics"],
      "env": {
        "GOOGLE_CLIENT_EMAIL": "your-service-account@project.iam.gserviceaccount.com",
        "GOOGLE_PRIVATE_KEY": "your-private-key",
        "GA_PROPERTY_ID": "your-ga4-property-id"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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