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Google Analytics Data API MCP Server

Google Analytics Data API MCP Server

Local
github.com/mattcoatsworthData & Analytics0Updated 81w ago

About Google Analytics Data API MCP Server

Google Analytics Data API MCP Server connects MCP clients to Google Analytics Data API v1 for reporting, audience management, and metadata access. It exposes both tools and resources for querying and exploring GA data.

Key features

  1. 01Run standard, pivot, and batch reports
  2. 02Create and manage audiences
  3. 03Read dimensions and metrics metadata
  4. 04Check dimension and metric compatibility
  5. 05Browse property, report, and audience resources

Use cases

  1. 01Generate reports for a Google Analytics 4 property
  2. 02Run multiple reports in a batch
  3. 03Create or update audience definitions
  4. 04Explore available dimensions and metrics

MCP support

The MCP server exposes Google Analytics reporting and audience-management tools, plus resources for property information, reports, metadata, dimensions, metrics, and audiences.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.