Google Analytics Data API MCP Server

Google Analytics Data API MCP Server

By mattcoatsworth GitHub

-

google-analytics data-api
Overview

What is Google Analytics Data API MCP Server?

Google Analytics Data API MCP Server is a Model Context Protocol (MCP) server designed for interacting with the Google Analytics Data API v1, providing tools for querying Google Analytics data, managing audiences, and accessing metadata.

How to use Google Analytics Data API MCP Server?

To use the server, clone the repository, install the necessary dependencies, set up your Google Analytics credentials in a .env file, and run the server using npm start.

Key features of Google Analytics Data API MCP Server?

  • Run standard and pivot reports
  • Batch reporting capabilities
  • Access metadata about dimensions and metrics
  • Create, list, update, and delete audiences
  • Check compatibility between dimensions and metrics
  • Comprehensive resource endpoints for exploring GA data

Use cases of Google Analytics Data API MCP Server?

  1. Generating detailed reports on user interactions and behaviors.
  2. Managing audience segments for targeted marketing campaigns.
  3. Accessing and analyzing metadata for better data insights.

FAQ from Google Analytics Data API MCP Server?

  • What are the prerequisites for using this server?

You need Node.js 14 or higher, a Google Analytics 4 property, and a Google Cloud service account with appropriate permissions.

  • Is there a license for this project?

Yes, the project is licensed under MIT.

  • How can I run multiple reports at once?

You can use the batchRunReports feature to run multiple reports in a single batch.

Content

Google Analytics Data API MCP Server

A Model Context Protocol (MCP) server for interacting with the Google Analytics Data API v1. This server provides tools and resources for querying Google Analytics data, managing audiences, and accessing metadata.

## Features

- Run standard and pivot reports
- Batch reporting capabilities
- Access metadata about dimensions and metrics
- Create, list, update, and delete audiences
- Check compatibility between dimensions and metrics
- Comprehensive resource endpoints for exploring GA data

## Prerequisites

- Node.js 14 or higher
- Google Analytics 4 property
- Google Cloud service account with appropriate permissions

## Setup

1. Clone this repository
2. Install dependencies:
   ```
   npm install
   ```
3. Create a `.env` file based on `.env.example` with your Google Analytics credentials:
   ```
   GOOGLE_CLIENT_EMAIL=your-service-account-email@project-id.iam.gserviceaccount.com
   GOOGLE_PRIVATE_KEY=your-private-key
   DEFAULT_PROPERTY_ID=properties/123456789
   ```

## Usage

### Running the Server

```
npm start
```

### Testing with MCP Inspector

```
npm run inspect
```

## Available Tools

- **runReport**: Run a standard report on Google Analytics data
- **batchRunReports**: Run multiple reports in a single batch
- **runPivotReport**: Run a pivot report on Google Analytics data
- **batchRunPivotReports**: Run multiple pivot reports in a batch
- **getMetadata**: Get metadata about dimensions and metrics
- **checkCompatibility**: Check compatibility between dimensions and metrics
- **createAudience**: Create a new audience
- **listAudiences**: List audiences in a property
- **getAudience**: Get details of a specific audience
- **deleteAudience**: Delete an audience
- **updateAudience**: Update an existing audience

## Available Resources

- **ga://property/{propertyId}**: Get property information
- **ga://report/{propertyId}/{reportType}/{dimensions}/{metrics}/{startDate}/{endDate}**: Generate reports
- **ga://metadata**: Get API metadata
- **ga://dimensions**: Browse dimensions by category
- **ga://dimensions/{category}**: Get dimensions in a specific category
- **ga://metrics**: Browse metrics by category
- **ga://metrics/{category}**: Get metrics in a specific category
- **ga://audiences/{propertyId}**: List audiences in a property
- **ga://audiences/{propertyId}/{audienceId}**: Get details of a specific audience

## Example Queries

### Running a Basic Report

```javascript
{
  "propertyId": "properties/123456789",
  "dateRanges": [
    {
      "startDate": "7daysAgo",
      "endDate": "yesterday"
    }
  ],
  "dimensions": [
    {
      "name": "country"
    },
    {
      "name": "deviceCategory"
    }
  ],
  "metrics": [
    {
      "name": "activeUsers"
    },
    {
      "name": "sessions"
    }
  ]
}
```

### Creating an Audience

```javascript
{
  "propertyId": "properties/123456789",
  "displayName": "High Value Users",
  "description": "Users who have completed a purchase",
  "membershipDurationDays": 30,
  "filterClauses": [
    {
      "filterExpression": {
        "andGroup": {
          "expressions": [
            {
              "filter": {
                "fieldName": "eventName",
                "stringFilter": {
                  "value": "purchase",
                  "matchType": "EXACT"
                }
              }
            }
          ]
        }
      }
    }
  ]
}
```

## License

MIT
No tools information available.

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