mcp-ga4

MCP server for Google Analytics 4 -- run reports, realtime data, custom dimensions, and property management via Claude.

Features

• 9 tools covering reporting, realtime data, custom dimensions/metrics, data streams, and feedback
• Two configuration modes: single-property (env vars) and multi-client (config.json)
• Supports both service account and OAuth credentials
• Relative date support (today, yesterday, 7daysAgo, 30daysAgo, 90daysAgo)
• Built on official Google SDKs with resilience patterns

Installation

npm install mcp-ga4

Or clone the repository:

git clone https://github.com/mharnett/mcp-ga4.git
cd mcp-ga4
npm install
npm run build

Authentication

mcp-ga4 supports two credential families. Selection is deterministic and happens once, at startup: an explicit keyfile / service account wins, then user OAuth, and if neither is configured the server exits with a loud onboarding error naming both options. There is no machine-local credentials path baked into the code and no silent runtime failover -- the only credential inputs are environment variables and (optionally) your own per-user config.json. (A later 403 therefore surfaces as the API error, not as a silent switch to the other credential family.)

Precedence: when both families are configured, the keyfile / service account takes precedence over user OAuth.

Option A: Service account (recommended for unattended / server use)

Use this for any always-on or server deployment. Point GOOGLE_APPLICATION_CREDENTIALS (or config.json credentials_file) at a JSON keyfile. The service account must be granted access on the GA4 property (Admin → Property Access Management → add the service-account email with at least Viewer). No refresh token is involved -- the server hands the keyfile to the GA4 SDKs directly:

GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json

The keyfile may be a real service-account key or an authorized_user OAuth token dump -- both are accepted via the keyFile option.

Option B: User OAuth (personal / interactive use)

Use this if you want the server to act as a Google user (your own GA4 login). You bring your own Google OAuth client and mint a refresh token once.

1. In Google Cloud Console, create an OAuth 2.0 Client ID of type Desktop app. Enable the Google Analytics Data API (and the Admin API if you use the custom-dimension tools).

2. Export your client credentials and run the token helper (uses PKCE, opens a browser, prints the token to stdout):

   export GA4_CLIENT_ID=...            # from the Desktop-app client
   export GA4_CLIENT_SECRET=...
   node get-refresh-token.cjs          # or: npm run auth

   Do not redirect this command's stdout to a shared log -- the refresh token is printed there by design.

3. Copy the printed GA4_REFRESH_TOKEN=... into your environment. At runtime the server reads these three env vars:

   GA4_CLIENT_ID=...
   GA4_CLIENT_SECRET=...
   GA4_REFRESH_TOKEN=...

The scope requested is read from config.json oauth.scope (see below), so the helper and the running server never disagree on what you granted.

Scopes (minimum grant)

Scopes live in config.json under oauth.scope. The committed default is:

https://www.googleapis.com/auth/analytics.readonly
https://www.googleapis.com/auth/analytics.edit

analytics.edit is required because ga4_create_custom_dimension mutates the property via the Admin API. If you only need read access, override oauth.scope in your own config.json to analytics.readonly alone and re-run the helper.

Configuration

Security: Never share your .mcp.json file or commit it to git -- it may contain API credentials. Add .mcp.json to your .gitignore.

Mode 1: Single Property (env vars)

Set a property ID plus one of the auth families above:

GA4_PROPERTY_ID=123456789
# then EITHER the OAuth trio (GA4_CLIENT_ID/SECRET/REFRESH_TOKEN)
# OR a service account: GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json

Mode 2: Multi-Client (config.json)

Create a config.json in the project root to map multiple GA4 properties to project directories. The server auto-detects which property to use based on the caller's working directory. Credentials come from the environment (Option A/B above); config.json may optionally carry a credentials_file service-account path for a config-only SA setup.

{
  "oauth": {
    "scope": "https://www.googleapis.com/auth/analytics.readonly https://www.googleapis.com/auth/analytics.edit"
  },
  "clients": {
    "client-a": {
      "name": "Client A",
      "folder": "/path/to/client-a/project",
      "property_id": "123456789"
    },
    "client-b": {
      "name": "Client B",
      "folder": "/path/to/client-b/project",
      "property_id": "987654321"
    }
  }
}

Usage

Claude Code (.mcp.json)

Single-property mode:

{
  "mcpServers": {
    "ga4": {
      "command": "npx",
      "args": ["mcp-ga4"],
      "env": {
        "GA4_PROPERTY_ID": "123456789",
        "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/credentials.json"
      }
    }
  }
}

Multi-client mode:

{
  "mcpServers": {
    "ga4": {
      "command": "node",
      "args": ["/path/to/mcp-ga4/dist/index.js"]
    }
  }
}

Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Common Query Patterns

Top pages: dimensions=pagePath, metrics=screenPageViews, order_by=screenPageViews

Traffic sources: dimensions=sessionSource,sessionMedium, metrics=sessions,totalUsers

Daily trend: dimensions=date, metrics=sessions,totalUsers

Campaign performance: dimensions=sessionCampaignName, metrics=sessions,conversions

Device breakdown: dimensions=deviceCategory, metrics=sessions,totalUsers

Tools

| Tool | Description | |------|-------------| | ga4_get_client_context | Returns the active GA4 property ID and client name | | ga4_run_report | Run a standard GA4 report with dimensions, metrics, date range, and filters | | ga4_realtime_report | Query realtime data (last 30 minutes) | | ga4_list_custom_dimensions | List all custom dimensions for the property | | ga4_create_custom_dimension | Create a new custom dimension | | ga4_list_custom_metrics | List all custom metrics for the property | | ga4_list_data_streams | List web/app data streams and their measurement IDs | | ga4_send_feedback | Submit feedback on a query result | | ga4_suggest_improvement | Suggest a new query pattern or improvement |

Date Formats

Use YYYY-MM-DD for absolute dates, or these relative shortcuts:

• today
• yesterday
• 7daysAgo
• 30daysAgo
• 90daysAgo

Common Dimensions and Metrics

Dimensions: date, dateHour, eventName, pagePath, pageTitle, sessionSource, sessionMedium, sessionCampaignName, country, city, deviceCategory, browser, operatingSystem, landingPage, pageReferrer, newVsReturning, firstUserSource, firstUserMedium, firstUserCampaignName

Metrics: sessions, totalUsers, newUsers, activeUsers, screenPageViews, eventCount, conversions, engagedSessions, engagementRate, averageSessionDuration, bounceRate, sessionsPerUser, screenPageViewsPerSession, userEngagementDuration

Data Freshness

• Standard reports: 24-48 hour delay
• Realtime reports: last 30 minutes only

Architecture

Built on:

• @google-analytics/data -- GA4 Data API for reports
• @google-analytics/admin -- GA4 Admin API for property management
• cockatiel -- resilience (retry, circuit breaker)
• pino -- structured logging

License

MIT

Author

Built by Mark Harnett / drak-marketing