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Google Analytics MCP Server

Data & AnalyticsUse Caution4.2MCP RegistryLocal
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GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

About

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Security Report

4.2
Use Caution4.2High Risk

The GA4 MCP server is well-structured with appropriate authentication via Google service accounts and reasonable permissions for its analytics purpose. However, there are notable concerns: the Cloudflare telemetry worker collects substantial usage data with weak opt-out mechanisms (environment variable based, easily overlooked), the installer script includes non-blocking telemetry pings that could mask failures silently, and the main server code has missing error handling in one critical path. These issues are not critical security vulnerabilities but represent moderate risks around transparency and reliability. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.

5 files analyzed ยท 12 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

What You'll Need

Set these up before or after installing:

Absolute path to your Google Cloud service account JSON key with GA4 property access.Required

Environment variable: GOOGLE_APPLICATION_CREDENTIALS

Numeric GA4 Property ID to query, for example 123456789.Optional

Environment variable: GA4_PROPERTY_ID

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-surendranb-google-analytics-mcp": {
      "env": {
        "GA4_PROPERTY_ID": "your-ga4-property-id-here",
        "GOOGLE_APPLICATION_CREDENTIALS": "your-google-application-credentials-here"
      },
      "args": [
        "google-analytics-mcp"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Google Analytics 4 (GA4) MCP Server ๐Ÿ“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

๐ŸŒ Live Documentation & Web Portal: https://ga4.builditwithai.xyz


โšก 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


๐Ÿค– 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"]
    }
  }
}

๐Ÿ› ๏ธ 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

๐Ÿง  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.

๐Ÿ”’ 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

๐Ÿ“„ License

MIT License. See LICENSE for details.

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