E

Eno Graph MCP Server Google Analytics

This project is a server based on the Model Context Protocol (MCP) that provides an interface to access the Google Analytics Data API, supporting functions such as obtaining reports and real-time data.
2 points
17

What is the Google Analytics Data API MCP Server?

This is a specially designed middleware service that allows non-technical users to easily access Google Analytics 4 (GA4) data. It simplifies complex API calls into simple commands and resource access through a standardized protocol.

How to use this service?

You can connect to this service through a simple JSON configuration and then use the provided tools to obtain analytical data or access resources. There's no need to write code; just send simple requests.

Use cases

Suitable for marketers, product managers, and business analysts who need to regularly obtain website/app analytical data. It is particularly suitable for integration into chatbots or automated workflows.

Main features

Get historical reportsObtain customized analytical reports by specifying the date range, metrics, and dimensions.
Real-time dataGet real-time analytical data such as the current number of active users.
Metadata accessQuery the list of available metrics and dimensions to help build correct queries.

Advantages and limitations

Advantages
Access GA4 data without programming knowledge
The standardized interface is easy to integrate into various systems
Hides complex API authentication details
Provides access to real-time and historical data
Limitations
Requires pre-configuring a Google Cloud service account
Functions are limited by the capabilities of the GA4 API
There are certain limitations on query complexity

How to use

Set up a Google Cloud project
Create a project in the Google Cloud console and enable the Analytics Data API.
Configure the service account
Create a service account, download the authentication JSON file, and grant GA4 access permissions.
Install the MCP server
Clone the repository and install the dependencies.
Configure environment variables
Set the service account email, private key, and GA4 property ID.
Start the server
Run the server to prepare to receive requests.

Usage examples

Get weekly user reportsView the daily user activity and page views in the past 7 days.
Real-time device distributionUnderstand the distribution of device types used by current visitors.
Query available metricsView the list of all available metrics for querying.

Frequently Asked Questions

How to obtain Google Cloud service account credentials?
Where can I find the GA4 property ID?
Why does my query return empty data?
Can I query data from multiple properties?
How much delay is there in real-time data?

Related resources

Google Analytics Data API documentation
Official API reference documentation
Setup guide
Detailed installation and configuration instructions
Claude usage examples
Specific usage examples in Claude
GitHub repository
Project source code
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "google-analytics": {
      "command": "node",
      "args": ["/path/to/mcp-server-google-analytics/build/index.js"],
      "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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