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mcp-server-google-analytics

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Model Context Protocol server for Google Analytics, enabling LLMs to fetch and analyze web analytics data

67 stars JavaScriptAI & Machine Learning Updated Oct 5, 2025

Documentation

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Google Analytics MCP Server

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An MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol

TypeScript SDK.

Features

  • Get page view metrics with customizable dimensions
  • Track active and new users over time
  • Analyze specific events and their metrics
  • Monitor user behavior metrics (session duration, bounce rate)
  • Flexible date range selection for all queries

Prerequisites

  • Node.js 20 or higher
  • A Google Analytics 4 property.
  • A Google Cloud project with the Analytics Data API enabled.
  • A service account with credentials to access the API.

Setup and Configuration

To use this server, you need to configure authentication with Google Analytics. This is done using a service account.

1. Enable the Google Analytics Data API

1. Go to the Google Cloud Console.

2. Select the project you want to use.

3. In the navigation menu, go to APIs & Services > Library.

4. Search for "Google Analytics Data API" and enable it.

2. Create a Service Account

1. In the Google Cloud Console, navigate to IAM & Admin > Service Accounts.

2. Click "Create Service Account".

3. Give the service account a name (e.g., "GA4 MCP Server").

4. Click "Create and Continue".

5. You can skip granting the service account access to the project.

6. Click "Done".

7. Find the service account you just created and click on the three dots under "Actions".

8. Select "Manage keys", then "Add Key" > "Create new key".

9. Choose JSON as the key type and click "Create". A JSON file with the credentials will be downloaded.

3. Grant Service Account Access to Google Analytics

1. Open Google Analytics.

2. Navigate to the Admin section of your GA4 property.

3. Under the Property column, click on Property Access Management.

4. Click the "+" button to add a new user.

5. In the "Email address" field, paste the `client_email` from the JSON credentials file you downloaded.

6. Assign the "Viewer" role. You do not need to notify the user.

7. Click "Add".

4. Set Environment Variables

The server requires the following environment variables:

  • `GOOGLE_CLIENT_EMAIL`: The `client_email` from your service account JSON file.
  • `GOOGLE_PRIVATE_KEY`: The `private_key` from your service account JSON file.
  • `GA_PROPERTY_ID`: Your Google Analytics 4 property ID.

You can set them in your environment or use a `.env` file.

bash
export GOOGLE_CLIENT_EMAIL="your-service-account@your-project.iam.gserviceaccount.com"
export GOOGLE_PRIVATE_KEY="-----BEGIN PRIVATE KEY-----\nYOUR_PRIVATE_KEY\n-----END PRIVATE KEY-----\n"
export GA_PROPERTY_ID="your_property_id"

Installation

Installing via Smithery

To install Google Analytics Server for Claude Desktop automatically via Smithery:

bash
npx -y @smithery/cli install mcp-server-google-analytics --client claude

Manual Installation

bash
npm install -g mcp-server-google-analytics

Or use with npx directly:

bash
npx mcp-server-google-analytics

Usage

Starting the Server

bash
pnpm start

Configuration in Claude Desktop

Add this to your Claude Desktop configuration:

json
{
  "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"
      }
    }
  }
}

Available Functions

runReport

Run a flexible report to get analytics data.

Input:

json
{
  "startDate": "2024-01-01",
  "endDate": "2024-01-31",
  "dimensions": [{ "name": "country" }, { "name": "city" }],
  "metrics": [{ "name": "activeUsers" }, { "name": "newUsers" }],
  "dimensionFilter": {
    "filter": {
      "fieldName": "country",
      "stringFilter": {
        "value": "United States"
      }
    }
  }
}

getPageViews

Get page view metrics for a specific date range:

json
{
  "startDate": "2024-01-01",
  "endDate": "2024-01-31",
  "dimensions": ["page", "country"] // Optional
}

getActiveUsers

Get active users metrics:

json
{
  "startDate": "2024-01-01",
  "endDate": "2024-01-31"
}

getEvents

Get event metrics:

json
{
  "startDate": "2024-01-01",
  "endDate": "2024-01-31",
  "eventName": "purchase" // Optional
}

getUserBehavior

Get user behavior metrics:

json
{
  "startDate": "2024-01-01",
  "endDate": "2024-01-31"
}

Security Considerations

  • Least Privilege: Only grant the service account the "Viewer" role in Google Analytics.
  • Key Management: Keep your service account key file secure and do not expose it in client-side code.
  • Environment Variables: Use environment variables to store sensitive information like the client email, private key, and property ID.

Contributing

Contributions are welcome! Please read our Contributing Guide for details on our code of conduct and

the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Frequently asked questions

What is mcp-server-google-analytics?

mcp-server-google-analytics is Model Context Protocol server for Google Analytics, enabling LLMs to fetch and analyze web analytics data

How do I install mcp-server-google-analytics?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is mcp-server-google-analytics open source?

Yes — it is hosted on GitHub at https://github.com/ruchernchong/mcp-server-google-analytics and has 67 stars.

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