Google Analytics MCP Server

A Model Context Protocol (MCP) server that provides access to Google Analytics data through tools and resources.

Test results (2024-03-26):

• Total active users: 102,883
• Belarus active users: 64,837 (63%)
• Total page views: 2,422,925
• Belarus page views: 1,950,160 (80%)

Features

• Access Google Analytics metrics and dimensions through MCP resources
• Fetch analytics data with flexible filtering options
• Get formatted data with insights and recommendations
• TypeScript implementation with strong typing

Installation

1. Clone the repository
2. Install dependencies

   npm install
   

3. Create a .env file based on .env.example with your Google Analytics credentials
4. Build the project

   npm run build
   

Setup Google Analytics Credentials

1. Go to the Google Cloud Console
2. Create a new project or select an existing one
3. Enable the Google Analytics Data API
4. Create a service account with appropriate permissions
5. Download the service account key (JSON format)
6. Extract the client email and private key from the JSON file
7. Add these to your .env file:

   GA_PROPERTY_ID=your_property_id
   GA_CLIENT_EMAIL=your-service-account@your-project.iam.gserviceaccount.com
   GA_PRIVATE_KEY=-----BEGIN PRIVATE KEY-----\nYourPrivateKeyHere\n-----END PRIVATE KEY-----
   

Usage

Running the Server

node build/index.js

MCP Configuration

Add the server to your cline_mcp_settings.json file:

{
  "mcpServers": {
    "google-analytics": {
      "command": "node",
      "args": ["/path/to/GAnalytics-MCP-server/build/index.js"],
      "env": {
        "GA_PROPERTY_ID": "your_property_id",
        "GA_CLIENT_EMAIL": "your-service-account@your-project.iam.gserviceaccount.com",
        "GA_PRIVATE_KEY": "-----BEGIN PRIVATE KEY-----\\nYourPrivateKeyHere\\n-----END PRIVATE KEY-----"
      }
    }
  }
}

Available Tools

get_analytics_data

Get Google Analytics data with optional filtering and analysis.

Parameters:

• metrics (required): Array of metric names to fetch
• dimensions (optional): Array of dimension names
• startDate (required): Start date in YYYY-MM-DD format
• endDate (required): End date in YYYY-MM-DD format
• filters (optional): Object containing metric and dimension filters
• orderBy (optional): Array of fields to sort by
• limit (optional): Number of records to return
• offset (optional): Index of first record to return

Example:

{
  "metrics": ["activeUsers", "newUsers"],
  "dimensions": ["country", "deviceCategory"],
  "startDate": "2023-01-01",
  "endDate": "2023-01-31",
  "filters": {
    "metrics": [
      {
        "metric": "activeUsers",
        "operation": "GREATER_THAN",
        "value": 10
      }
    ],
    "dimensions": [
      {
        "dimension": "country",
        "operation": "EXACT",
        "value": "United States"
      }
    ]
  },
  "orderBy": [
    {
      "field": "activeUsers",
      "desc": true
    }
  ],
  "limit": 10
}

Available Resources

analytics://metrics

List of available Google Analytics metrics.

analytics://dimensions

List of available Google Analytics dimensions.

analytics://reports/{reportId}

Access specific analytics report data.

Development

Running Tests

npm test

Building

npm run build

License

MIT