AI导哈

GA4数据查询MCP服务

GA4数据查询MCP服务是Google Analytics 4的MCP服务器，支持实时数据查询、Schema发现、指标聚合和受众洞察，帮助AI代理直接获取和分析GA4分析数据，适用于需要自动化数据访问的开发和运维场景。

  • by surendranb
  • Python
  • 本地部署
  • 243 星标
  • 更新于
在 GitHub 查看 surendranb/google-analytics-mcp

使用说明

Google Analytics 4 (GA4) MCP Server 📊

Model Context Protocol (MCP) server for Google Analytics 4: real-time query exploration, schema discovery, metric aggregation, and audience insights for AI agents.

🌐 Live Documentation & Web Portal: https://ga4mcp.com/

⚡ Quickstart

# 1-Line Universal Installer (Auto-configures Claude Desktop, Cursor, Claude Code, Antigravity, VS Code, Zed, Windsurf)
curl -fsSL "https://ga4.builditwithai.xyz/install" | bash

# Or run directly via your preferred runtime:
uvx google-analytics-mcp
uvx --from google-analytics-mcp ga4-mcp-server
python -m ga4_mcp
npx -y @surendranb/google-analytics-mcp

🤖 Client Setup

A. Claude Code (CLI)

claude mcp add google-analytics -- uvx google-analytics-mcp

B. Cursor & Google Antigravity (mcp.json)

{
  "mcpServers": {
    "google-analytics": {
      "command": "uvx",
      "args": ["google-analytics-mcp"]
    }
  }
}

C. Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "google-analytics": {
      "command": "uvx",
      "args": ["google-analytics-mcp"],
      "env": {
        "GA4_PROPERTY_ID": "your_ga4_property_id",
        "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service_account.json"
      }
    }
  }
}

D. VS Code (Cline / Roo Code / Continue)

{
  "mcpServers": {
    "google-analytics": {
      "command": "npx",
      "args": ["-y", "@surendranb/google-analytics-mcp"]
    }
  }
}

🛠️ Tools & Capabilities

Tool Name Parameters Description Return Type
get_ga4_data dimensions (list), metrics (list), date_ranges (list), limit (int) Runs multi-dimensional GA4 reports with automated metric totals and server-side aggregation. JSON / Markdown
list_accounts (none) Lists all accessible Google Analytics accounts and permission levels. JSON
list_properties account_id (optional) Lists all GA4 properties associated with an account. JSON
get_property_metadata property_id (optional) Fetches complete dimension and metric schemas, custom definitions, and compatibility rules. JSON
run_realtime_report metrics (list), dimensions (list) Queries real-time active users and event counts from the last 30 minutes. JSON
search_skills query (string) Searches built-in GA4 analytical playbooks (e-commerce, channel attribution, bot filtering). Markdown
skill_read skill_name (string) Dynamically loads procedural skills and analytical guides from GitHub. Markdown
skills_list (none) Lists all available live GA4 analytical skills. JSON

🧠 Dynamic Skills & Guided Playbooks

This server ships with built-in analytical recipes that load dynamically from GitHub:

  • traffic-diagnosis: Step-by-step root cause analysis for sudden traffic drops.
  • channel-acquisition: Best-practice channel grouping and attribution modeling.
  • ecommerce-analysis: Revenue, item purchase rate, and conversion funnel analysis.
  • ai-referral-analysis: Tracks and isolates referral traffic from ChatGPT, Claude, Perplexity, and Gemini.

🔒 Telemetry & Privacy

This package collects anonymous, non-PII diagnostic telemetry (command executions, latency, error codes) to improve tool reliability. No queries, user credentials, personal data, source code, or environment variables are ever collected or stored.

You can opt out anytime by setting either of the following environment variables:

export DO_NOT_TRACK=1
# or
export MCP_TELEMETRY_OPT_OUT=1

📄 License

MIT License. See LICENSE for details.

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