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GA4 MCP Server

MCP Python License

A Model Context Protocol (MCP) server that connects Claude Desktop (and other MCP clients) to the Google Analytics 4 Data API — run reports, view top pages, analyze traffic sources, check realtime users, and compare periods.

Features

7 Analytics Tools

Tool Description
ga4_list_properties List all GA4 properties accessible by the service account
ga4_get_report Run a custom report with any dimensions and metrics
ga4_get_top_pages Top pages by sessions with bounce rate and duration
ga4_get_traffic_sources Traffic breakdown by source/medium
ga4_get_conversions Conversion events and their counts
ga4_get_realtime Realtime active users and top pages
ga4_compare_periods Compare current vs previous period with percentage changes

Built-in Reliability

  • Token-bucket rate limiter — respects GA4's 10 concurrent request limit
  • Auto-retry on 429/5xx — exponential backoff (2s, 4s, 8s) up to 3 retries
  • Lazy imports — defers heavy Google client libraries for fast MCP handshake
  • Actionable error messages — guides users to fix permission, auth, and input errors

Quick Start

Prerequisites

  • Python 3.11+
  • A Google Cloud service account with GA4 access
  • Claude Desktop (or any MCP-compatible client)

Set Up Google Analytics Access

  1. Create a Google Cloud service account
  2. Enable the Google Analytics Data API and Google Analytics Admin API in your project
  3. Download the service account JSON key file
  4. In GA4: go to Admin > Property Access Management and add the service account email as a Viewer

Installation

Run the published package without a global install:

uvx --from luminarylane-ga4-mcp luminarylane-ga4-mcp

The package is published on PyPI. Alternatively, install it with pip install luminarylane-ga4-mcp.

Configuration

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "ga4": {
      "command": "uvx",
      "args": ["--from", "luminarylane-ga4-mcp", "luminarylane-ga4-mcp"],
      "env": {
        "GA4_CREDENTIALS_PATH": "/path/to/service_account_credentials.json",
        "GA4_PROPERTY_ID": "123456789"
      }
    }
  }
}

Environment variables:

Variable Required Description
GA4_CREDENTIALS_PATH Yes Path to service account JSON key file
GA4_PROPERTY_ID No Default property ID (can also pass per-tool)

For local development only, credential files may be stored in paths excluded by .gitignore; never commit them. Prefer the explicit environment-variable path above.

Usage Examples

Once configured, ask Claude to:

  • "What are my top pages this month?"
  • "Show me traffic sources for the last 7 days"
  • "How does this week compare to last week?"
  • "Are there any active users on the site right now?"
  • "Run a report on sessions by country for the last 90 days"
  • "What conversion events fired this week?"
  • "List all GA4 properties I have access to"

Rate Limits

GA4 Data API allows 10 concurrent requests per property. The server handles this with a client-side token bucket and exponential backoff retries.

Troubleshooting

Permission denied (403)

The service account doesn't have access to the GA4 property. Go to GA4 Admin > Property Access Management and add the service account email as a Viewer.

Property not found (404)

Property IDs are numeric (e.g., 123456789), not the measurement ID (G-XXXXXXX). Use ga4_list_properties to find valid IDs.

Authentication failed (401)

Check that GA4_CREDENTIALS_PATH points to a valid service account JSON key file.

Invalid dimension/metric (400)

Check the GA4 Dimensions & Metrics Explorer for valid names. Common mistakes: sessions not session, sessionSource not source, pagePath not page.

Contributing

See CONTRIBUTING.md. Never commit service-account credentials or OAuth tokens.

Security

Report vulnerabilities privately using GitHub's private vulnerability reporting; do not include credentials in public issues.

License

MIT License — see LICENSE for details.

Acknowledgments

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