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@surendranb/google-analytics-mcp

GA4 MCP server for agent analytics

This repository provides an MCP server that exposes Google Analytics 4 data to AI agents and other MCP clients. It supports schema discovery, multi-dimensional reports, realtime queries, and built-in analytical playbooks for common GA4 questions.

241 starsβ€’47 forksβ€’Pythonβ€’Updated 7d ago
Who it's for

Builders who want their agent to pull GA4 traffic and behavior data directly into their workflow.

What it delivers

You can ask an agent to analyze website performance with live GA4 data instead of exporting reports by hand.

What it does

GA4 report queries

Runs multi-dimensional GA4 reports with `get_ga4_data`, including date ranges, metrics, dimensions, and server-side aggregation.

Property and schema discovery

Lists accounts and properties, then fetches available dimensions, metrics, custom definitions, and compatibility rules.

Realtime analysis

Queries active users and event counts from the last 30 minutes with `run_realtime_report`.

Built-in analytical skills

Searches and loads guided playbooks such as traffic diagnosis, channel acquisition, ecommerce analysis, and AI referral analysis.

MCP client setup helpers

Includes install and config paths for Claude Code, Cursor, Claude Desktop, VS Code-based clients, and other MCP clients.

How to get it

  1. 1Run
    # 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
  2. 2Run
    claude mcp add google-analytics -- uvx google-analytics-mcp

README

Google Analytics 4 (GA4) MCP Server πŸ“Š

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

CI PyPI version npm version OpenSSF Scorecard License: MIT

🌐 Live Documentation & Web Portal: https://ga4.builditwithai.xyz


⚑ 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


πŸ€– 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"]
    }
  }
}

πŸ› οΈ Tools & Capabilities

Tool NameParametersDescriptionReturn Type
get_ga4_datadimensions (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_propertiesaccount_id (optional)Lists all GA4 properties associated with an account.JSON
get_property_metadataproperty_id (optional)Fetches complete dimension and metric schemas, custom definitions, and compatibility rules.JSON
run_realtime_reportmetrics (list), dimensions (list)Queries real-time active users and event counts from the last 30 minutes.JSON
search_skillsquery (string)Searches built-in GA4 analytical playbooks (e-commerce, channel attribution, bot filtering).Markdown
skill_readskill_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.

πŸ”’ 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

πŸ“„ License

MIT License. See LICENSE for details.

Files in the repo

Repository payloadβ€’31 top-level entries
  • .claude-plugin
  • .github
  • .well-known
  • assets
  • docs
  • Formula
  • ga4_mcp
  • gemini-extension
  • npm
  • plugins
  • scripts
  • skills
  • tests
  • .gitignore
  • AGENTS.md
  • CHANGELOG.md
  • claude-config-template.json
  • gemini-extension.json
  • LICENSE
  • llms.txt
  • logo.png
  • netlify.toml
  • pyproject.toml
  • README.md
  • RELEASING.md
  • requirements.txt
  • SECURITY.md
  • server.json
  • smithery.yaml
  • test_cases.md
  • uv.lock

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