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Google Analytics MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

MCP-Mirror

关于 Google Analytics MCP Server

Mirror of

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

Google Analytics MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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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