mcpField
G
ga4

ga4

Local
github.com/mharnettData & Analytics0Updated 4w ago

About ga4

ga4 is an MCP server for querying Google Analytics 4 and managing selected property data. It supports reports, realtime results, custom dimensions and metrics, and single- or multi-property configuration with service-account or OAuth credentials.

Key features

  1. 01Run reports with dimensions and metrics
  2. 02Query realtime data
  3. 03List and create custom dimensions
  4. 04List custom metrics and data streams
  5. 05Configure single or multiple properties
  6. 06Authenticate with service accounts or OAuth

Use cases

  1. 01Review traffic sources and page views
  2. 02Check activity from the last 30 minutes
  3. 03Manage custom dimensions for a GA4 property
  4. 04Use separate GA4 properties for project folders

MCP support

The server exposes nine Google Analytics 4 tools through MCP, including reports, realtime queries, custom dimensions, data streams, and feedback. Its setup wizard registers the server with detected Claude Desktop and Claude Code clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"mharnett-ga4": {
"command": "npx",
"args": [
"-y",
"mcp-ga4"
],
"env": {
"GA4_PROPERTY_ID": "<GA4_PROPERTY_ID>",
"GOOGLE_APPLICATION_CREDENTIALS": "<GOOGLE_APPLICATION_CREDENTIALS>"
}
}
}
}
Run commandnpx -y mcp-ga4
Environment variables to set
GA4_PROPERTY_IDGA4 property ID (numeric)
GOOGLE_APPLICATION_CREDENTIALSSecretPath to service account JSON credentials file

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-ga42.0.1

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

Quick start

  1. Get credentials -- a service-account keyfile, or a user-OAuth refresh token (see Authentication).

  2. Register the server with every Claude client on this machine:

    # service account
    npx -p mcp-ga4 mcp-ga4-setup --property-id 123456789 --credentials /path/to/service-account.json
    
    # or user OAuth: export GA4_CLIENT_ID / GA4_CLIENT_SECRET / GA4_REFRESH_TOKEN first
    npx -p mcp-ga4 mcp-ga4-setup --property-id 123456789
    

    The wizard detects Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows) and the Claude Code CLI (claude on PATH) and registers ga4 with each one it finds. Other servers and settings in the Desktop config are preserved; an invalid config file is left untouched and the wizard stops. Re-running is safe. Use --claude-desktop-only or --claude-code-only to target one client.

  3. Fully quit and reopen Claude Desktop (Cmd+Q), or restart your claude session.

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

Manual configuration

mcp-ga4-setup (see Quick start) writes this for you. To manage the entry by hand, the single-property shape is:

{
  "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"]
    }
  }
}

The same mcpServers shape is used by Claude Code project configs and by Claude Desktop's claude_desktop_config.json.

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

ToolDescription
ga4_get_client_contextReturns the active GA4 property ID and client name
ga4_run_reportRun a standard GA4 report with dimensions, metrics, date range, and filters
ga4_realtime_reportQuery realtime data (last 30 minutes)
ga4_list_custom_dimensionsList all custom dimensions for the property
ga4_create_custom_dimensionCreate a new custom dimension
ga4_list_custom_metricsList all custom metrics for the property
ga4_list_data_streamsList web/app data streams and their measurement IDs
ga4_send_feedbackSubmit feedback on a query result
ga4_suggest_improvementSuggest 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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.