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ruchernchong_mcp-server-google-analítico
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ruchernchong_mcp-server-google-analítico

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2024-11-30

Espejo de https: //github.com/ruchernchong/mcp-server-google-analytics

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Google Analytics MCP Server

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
  • Google Analytics 4 property
  • Google Cloud project with Analytics Data API enabled
  • Service account credentials with appropriate permissions

Setup

  1. Create a Google Cloud project and enable the Analytics Data API
  2. Create a service account and download the credentials JSON file
  3. Grant the service account appropriate access to your GA4 property
  4. Set up environment variables:
export GOOGLE_CLIENT_EMAIL="your-service-account@project.iam.gserviceaccount.com"
export GOOGLE_PRIVATE_KEY="your-private-key"
export GA_PROPERTY_ID="your-ga4-property-id"

Installation

pnpm install mcp-server-google-analytics

Usage

Starting the Server

pnpm start

Configuration in Claude Desktop

Add this to your Claude Desktop configuration:

{
  "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

getPageViews

Get page view metrics for a specific date range:

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

getActiveUsers

Get active users metrics:

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

getEvents

Get event metrics:

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

getUserBehavior

Get user behavior metrics:

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

Security Considerations

  • Always use environment variables for sensitive credentials
  • Implement appropriate CORS settings
  • Follow the principle of least privilege when setting up service account permissions
  • Regularly rotate service account credentials
  • Monitor API usage and implement rate limiting if needed

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.

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    Reviews

    3 (1)
    Avatar
    user_2UQq7xvy
    2025-04-16

    I'm a loyal user of ruchernchong_mcp-server-google-analytics and it's a fantastic tool for integrating Google Analytics with MCP servers. Developed by MCP-Mirror, it offers seamless data tracking and insightful analytics. The user-friendly interface and efficient performance make it a must-have for anyone looking to optimize their server analytics. Highly recommend!