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GA4 MCP Server

GA4 MCP Server

by luminarylane

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

Related MCP server: Google Analytics MCP Server

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

Available Tools

7 tools
ga4_compare_periodsA

Compare current period vs previous period for key metrics. Shows absolute values and percentage change for each metric.

Args: property_id: GA4 property ID (numeric). Leave empty to use GA4_PROPERTY_ID env var. metrics: Comma-separated metrics to compare (default: sessions, users, pageviews, bounce rate, avg session duration, conversions). days: Period length in days (default: 28). Compares last N days vs the N days before that.

Inputs: days, metrics, property_id. Returns: result

ga4_get_conversionsA

Get conversion events and their counts. Shows which events are firing and how often, broken down by event name.

Args: property_id: GA4 property ID (numeric). Leave empty to use GA4_PROPERTY_ID env var. days: Lookback period in days (default: 28). row_limit: Max rows to return (default: 20).

Inputs: days, row_limit, property_id. Returns: result

ga4_get_realtimeA

Get realtime active users and current events on the site. Shows what's happening RIGHT NOW — active users, top pages, traffic sources.

Args: property_id: GA4 property ID (numeric). Leave empty to use GA4_PROPERTY_ID env var.

Inputs: property_id. Returns: result

ga4_get_reportA

Run a custom GA4 report with any combination of dimensions and metrics.

Args: property_id: GA4 property ID (numeric). Leave empty to use GA4_PROPERTY_ID env var. dimensions: Comma-separated dimension names (e.g., "date", "sessionSource,sessionMedium", "pagePath", "country", "deviceCategory"). Default: "date". metrics: Comma-separated metric names (e.g., "sessions,totalUsers,screenPageViews", "bounceRate,averageSessionDuration,conversions"). Default: "sessions,totalUsers,screenPageViews". days: Lookback period in days (default: 28). row_limit: Max rows to return (default: 20, max: 100).

Inputs: days, metrics, row_limit, dimensions, +1 more. Returns: result

ga4_get_top_pagesA

Get top pages by sessions. Shows page path, sessions, users, pageviews, bounce rate, and average session duration.

Args: property_id: GA4 property ID (numeric). Leave empty to use GA4_PROPERTY_ID env var. days: Lookback period in days (default: 28). row_limit: Max rows to return (default: 20).

Inputs: days, row_limit, property_id. Returns: result

ga4_get_traffic_sourcesA

Get traffic sources breakdown by source/medium. Shows sessions, users, bounce rate, and conversions per traffic source.

Args: property_id: GA4 property ID (numeric). Leave empty to use GA4_PROPERTY_ID env var. days: Lookback period in days (default: 28). row_limit: Max rows to return (default: 20).

Inputs: days, row_limit, property_id. Returns: result

ga4_list_propertiesA

List all GA4 properties accessible by the service account. Returns property IDs and display names.

Inputs: no named parameters. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.2/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each special-purpose tool targets a distinct analytical view (top pages, traffic sources, conversions, realtime, period comparison), and ga4_get_report is explicitly generic. While ga4_get_report could theoretically replicate the specialized tools, its purpose is clearly different, so confusion is unlikely.

    Naming Consistency5/5

    All tools follow the consistent ga4_<verb>_<noun> pattern with lowercase and underscores. Verbs are list, get, and compare, which is a predictable and uniform convention across the set.

    Tool Count5/5

    With 7 tools, the server is well-scoped for a GA4 analytics wrapper. It covers property discovery and the most common report types without unnecessary bloat or excessive minimalism.

    Completeness4/5

    The tool set covers property listing, common report dimensions, custom queries, realtime data, and period-over-period comparison. Advanced GA4 features like funnel analysis or user exploration are absent, but these are beyond the typical expectation for an analytics MCP server.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

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