Which integrations are available for this server?

Allows for the retrieval and listing of Google Ads accounts linked to specific Google Analytics 4 properties. Provides comprehensive tools for querying Google Analytics 4 (GA4) data, including property management, report execution via the Data API, and realtime data monitoring.

How do I use GA4 MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@GA4 MCP Server show me a report of active users by country for the last 30 days" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

GA4 MCP Server

A Model Context Protocol (MCP) server for Google Analytics 4 (GA4) that provides tools for querying GA4 data through the Admin API and Data API.

Features

Dual Authentication: Supports both OAuth Playground tokens and Service Account credentials
8 GA4 Tools:
- Account and property management (Admin API)
- Report execution and realtime data (Data API)
- GTM → GA4 parameter validation (cross-platform orchestration)
Compatible with Claude Desktop and other MCP-enabled clients
GTM Integration: Works with GTM MCP Server for end-to-end event validation

Installation

npm install npm run build

Quick Start (OAuth Setup)

1. Create OAuth Credentials

Go to Google Cloud Console
Create a new project or select an existing one
Enable the Google Analytics Data API and Google Analytics Admin API
Go to Credentials → Create Credentials → OAuth client ID
Select Desktop app as the application type
Download or copy the Client ID and Client Secret

2. Run Setup Script

# Set your OAuth credentials export GA4_CLIENT_ID="your-client-id.apps.googleusercontent.com" export GA4_CLIENT_SECRET="your-client-secret" # Run setup to authenticate with Google npm run setup

This will:

Open a browser for Google login
Request read-only access to Google Analytics
Save tokens to ~/.ga4-mcp/tokens.json

3. Use the Server

Once authenticated, you can use the MCP server with Claude Desktop or other clients.

Authentication

The server supports two authentication methods, checked in this order:

1. OAuth Playground Tokens (Recommended for personal use)

Set these environment variables:

GA4_ACCESS_TOKEN - OAuth access token
GA4_REFRESH_TOKEN - OAuth refresh token
GA4_CLIENT_ID - OAuth client ID
GA4_CLIENT_SECRET - OAuth client secret

Or create ~/.ga4-mcp/tokens.json:

{ "access_token": "your-access-token", "refresh_token": "your-refresh-token", "client_id": "your-client-id", "client_secret": "your-client-secret" }

2. Service Account (Recommended for production)

Options (in priority order):

Set GA4_SERVICE_ACCOUNT_JSON environment variable with JSON string
Set GOOGLE_APPLICATION_CREDENTIALS to the JSON file path
Place JSON file at ~/.ga4-mcp/credentials.json
Place JSON file in ./Credential/ folder

Usage

Claude Desktop Configuration

Add to your Claude Desktop configuration (~/.config/claude-desktop/config.json):

{ "mcpServers": { "ga4": { "command": "node", "args": ["/path/to/ga4-mcp-server/dist/index.js"], "env": { "GA4_ACCESS_TOKEN": "your-access-token", "GA4_REFRESH_TOKEN": "your-refresh-token", "GA4_CLIENT_ID": "your-client-id", "GA4_CLIENT_SECRET": "your-client-secret" } } } }

Direct Execution

# With OAuth environment variables GA4_ACCESS_TOKEN="..." GA4_REFRESH_TOKEN="..." GA4_CLIENT_ID="..." GA4_CLIENT_SECRET="..." node dist/index.js # With Service Account GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json" node dist/index.js

Available Tools

Admin API Tools

Tool	Description
`ga4_account_summaries`	List all GA4 accounts and properties the user has access to
`ga4_property_details`	Get detailed information about a specific property
`ga4_google_ads_links`	List Google Ads accounts linked to a property
`ga4_property_annotations`	List annotations for a property (limited support)

Data API Tools

Tool	Description
`ga4_run_report`	Run a standard GA4 report with dimensions, metrics, and date ranges
`ga4_run_realtime_report`	Run a realtime report for the last 30 minutes
`ga4_custom_dimensions_metrics`	Get custom dimensions and metrics defined for a property

GTM Validation Tool

Tool	Description
`ga4_validate_gtm_params`	Validate GTM event parameters against GA4 custom dimensions and data collection

Example Usage

Get Account Summaries

{ "tool": "ga4_account_summaries" }

Run a Report

{ "tool": "ga4_run_report", "arguments": { "propertyId": "123456789", "dateRanges": [ {"startDate": "30daysAgo", "endDate": "yesterday"} ], "dimensions": ["country", "deviceCategory"], "metrics": ["activeUsers", "sessions"] } }

Run Realtime Report

{ "tool": "ga4_run_realtime_report", "arguments": { "propertyId": "123456789", "dimensions": ["country"], "metrics": ["activeUsers"] } }

Validate GTM Parameters

{ "tool": "ga4_validate_gtm_params", "arguments": { "propertyId": "123456789", "gtmEvents": [ { "eventName": "purchase", "parameters": ["transaction_id", "value", "currency"] } ], "startDate": "7daysAgo", "endDate": "yesterday" } }

Or with GTM Export JSON:

{ "tool": "ga4_validate_gtm_params", "arguments": { "propertyId": "123456789", "gtmExportJson": { "...GTM container export data..." } } }

GTM Integration (Claude Agent Orchestration)

This server works with the GTM MCP Server to provide end-to-end validation of GTM event parameters in GA4.

Architecture

┌─────────────────────────────────────────────────────────────────────┐ │ Claude Agent │ │ (Orchestrator Role) │ ├─────────────────────────────────────────────────────────────────────┤ │ │ │ ① GTM MCP Server ② GA4 MCP Server │ │ (gtmAgent/mcp-server) (ga4-mcp-server) │ │ │ │ gtm_export_full() ga4_validate_gtm_params() │ │ gtm_tag().list() ga4_custom_dimensions_metrics() │ │ │ ga4_run_report() │ │ │ ▲ │ │ └───────────────────────────────────┘ │ │ Agent relays data │ │ │ └─────────────────────────────────────────────────────────────────────┘

Workflow

Extract from GTM: gtm_export_full() → Get GA4 Event tags and parameters
Validate in GA4: ga4_validate_gtm_params() → Check registration and collection
Get recommendations: Parameters not registered or not collecting data

Claude Desktop Configuration (Both Servers)

{ "mcpServers": { "gtm": { "command": "node", "args": ["/path/to/gtmAgent/mcp-server/dist/index.js"], "env": {} }, "ga4": { "command": "node", "args": ["/path/to/ga4-mcp-server/dist/index.js"], "env": { "GA4_ACCESS_TOKEN": "your-access-token", "GA4_REFRESH_TOKEN": "your-refresh-token", "GA4_CLIENT_ID": "your-client-id", "GA4_CLIENT_SECRET": "your-client-secret" } } } }

API Call Efficiency

Scenario	Traditional	Optimized	Reduction
5 events × 21 params	105 calls	22 calls	79%
14 events × 32 params	448 calls	33 calls	93%

The validation tool queries metadata once, then makes one API call per unique parameter instead of per event-parameter combination.

API Documentation References

Required Google API Scopes

The server uses the following scope:

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

License

MIT

GA4 MCP Server

GA4 MCP Server

Features

Installation

Quick Start (OAuth Setup)

1. Create OAuth Credentials

2. Run Setup Script

3. Use the Server

Authentication

1. OAuth Playground Tokens (Recommended for personal use)

2. Service Account (Recommended for production)

Usage

Claude Desktop Configuration

Direct Execution

Available Tools

Admin API Tools

Data API Tools

GTM Validation Tool

Example Usage

Get Account Summaries

Run a Report

Run Realtime Report

Validate GTM Parameters

GTM Integration (Claude Agent Orchestration)

Architecture

Workflow

Claude Desktop Configuration (Both Servers)

API Call Efficiency

API Documentation References

Required Google API Scopes

License

Resources

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