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Google Analytics MCP Server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

データと分析

トランスポート

stdio

作者

MCP-Mirror

Google Analytics MCP Server について

Mirror of

#google-analytics#mcp-server#data-access

Google Analytics MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "google-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-google-analytics"
      ],
      "env": {
        "GOOGLE_CLIENT_EMAIL": "",
        "GOOGLE_PRIVATE_KEY": "",
        "GA_PROPERTY_ID": ""
      }
    }
  }
}

Google Analytics MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Google Analytics MCP Server?

Google Analytics MCP Server is an MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol TypeScript SDK. It provides functions to query page views, active users, events, and user behavior metrics.

How to use Google Analytics MCP Server?

Install the package with pnpm install mcp-server-google-analytics and set the environment variables GOOGLE_CLIENT_EMAIL, GOOGLE_PRIVATE_KEY, and GA_PROPERTY_ID. Start the server with pnpm start or configure it in Claude Desktop using the provided npx command with environment variables.

Key features of Google Analytics MCP Server

  • 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

Use cases of Google Analytics MCP Server

  • Analyze website traffic and user engagement over custom date ranges
  • Monitor event performance, such as purchases or sign-ups
  • Understand user behavior patterns like session duration and bounce rate
  • Integrate GA4 analytics data into AI workflows through MCP

よくある質問

1

What data can I access with this server?

You can access page view metrics, active and new users, specific event metrics, and user behavior metrics like session duration and bounce rate.

2

What are the prerequisites?

Node.js 20 or higher, a Google Analytics 4 property, a Google Cloud project with the Analytics Data API enabled, and service account credentials with appropriate permissions.

3

How do I set up authentication?

Create a service account in Google Cloud, download its credentials JSON, set the `GOOGLE_CLIENT_EMAIL` and `GOOGLE_PRIVATE_KEY` environment variables, and grant the service account access to your GA4 property.

4

Can I query data for specific date ranges?

Yes, all functions accept `startDate` and `endDate` parameters to specify the date range for the query.

5

Is this server compatible with Claude Desktop?

Yes, it can be configured in Claude Desktop using an `mcpServers` entry with the npx command and environment variables for credentials and property ID.

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