google-analytics-mcp

by surendranbVerified

Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.

235
Stars
47
Forks
Python
Language
8/23/2026
Added
View on GitHubDownload ZIP

⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/surendranb/google-analytics-mcp

Getting Started

Guides for using skills like google-analytics-mcp.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

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.

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


🤖 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 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.

🔒 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.

Frequently Asked Questions

What is google-analytics-mcp?

google-analytics-mcp is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by surendranb. Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling. It has 235 GitHub stars.

Is google-analytics-mcp safe to use?

Yes. google-analytics-mcp passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install google-analytics-mcp?

Clone the repository with "git clone https://github.com/surendranb/google-analytics-mcp" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is google-analytics-mcp written in?

google-analytics-mcp is primarily written in Python. It is open-source under surendranb on GitHub, so you can review or fork the full source.

Are there alternatives to google-analytics-mcp?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh google-analytics-mcp against similar tools.

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