io.github.surendranb/google-analytics-mcp

Name: io.github.surendranb/google-analytics-mcp
Rating: 5 (230 reviews)
Author: surendranb

平台与服务

by surendranb

一个面向 Google Analytics 的 MCP server，当前描述仍为占位文本，需补充其具体功能说明。

把 Google Analytics 数据接入 MCP 工作流，能直接在 AI 助手里查询分析指标，少开后台、效率更高。

230GitHub

什么是 io.github.surendranb/google-analytics-mcp？

一个面向 Google Analytics 的 MCP server，当前描述仍为占位文本，需补充其具体功能说明。

README

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://ga4.builditwithai.xyz

⚡ Quickstart

bash

# 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)

bash

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

B. Cursor & Google Antigravity (`mcp.json`)

json

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

C. Claude Desktop (`claude_desktop_config.json`)

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)

json

{
  "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:

bash

export DO_NOT_TRACK=1
# or
export MCP_TELEMETRY_OPT_OUT=1

📄 License

MIT License. See LICENSE for details.

常见问题