Google Analytics MCP Server
Enables LLM applications to query Google Analytics 4 data through standard MCP interfaces, supporting real-time data, custom reports, and metadata discovery.
README
Google Analytics MCP Server
A Model Context Protocol (MCP) server that provides seamless access to Google Analytics 4 data through standard MCP interfaces. This tool allows LLM applications to easily query and analyze Google Analytics data without directly dealing with the complexities of the Google Analytics Data API.
Features
- Real-time Data Access: Get real-time analytics data for current active users and activity
- Custom Reports: Create comprehensive reports with custom dimensions and metrics
- Quick Insights: Predefined analytics insights for common use cases
- Metadata Discovery: Get available dimensions and metrics for your Google Analytics property
- Smart Error Handling: Detailed error messages with actionable solutions for permission issues
- Standard MCP Interface: Works with any MCP-compatible client
Installation
npm install @toolsdk.ai/google-analytics-mcp
Prerequisites
- Node.js >= 18.0.0
- Google Analytics 4 property
- Google Cloud service account with appropriate permissions
Setup
1. Google Cloud Service Account Setup
- Create a Google Cloud service account with the "Viewer" role for your Google Analytics property
- Download the service account key as JSON
- Add the service account to your Google Analytics property with Viewer access:
- Go to Google Analytics (analytics.google.com)
- Navigate to Admin > Property Access Management
- Add your service account email with Viewer access
2. Environment Configuration
Create a .env file in your project root with the following content:
GOOGLE_CREDENTIALS='{"type":"service_account","project_id":"your-project-id","private_key_id":"your-private-key-id","private_key":"-----BEGIN PRIVATE KEY-----\nYOUR_PRIVATE_KEY\n-----END PRIVATE KEY-----\n","client_email":"your-service-account@your-project.iam.gserviceaccount.com","client_id":"your-client-id","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_uri":"https://oauth2.googleapis.com/token","auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_x509_cert_url":"https://www.googleapis.com/robot/v1/metadata/x509/your-service-account%40your-project.iam.gserviceaccount.com"}'
Note: Make sure to properly format the private key with \n for newlines.
Usage
Use ToolSDK.ai
import { ToolSDKApiClient } from 'toolsdk/api';
const toolSDK = new ToolSDKApiClient();
// Get Tools
const GoogleAnalyticsMCP = await toolSDK.package('@toolsdk.ai/google-analytics-mcp', {
GOOGLE_CREDENTIALS: process.env.GOOGLE_CREDENTIALS,
});
Use Claude
{
"mcpServers": {
"google-analytics-mcp": {
"command": "npx",
"args": [
"-y",
"@toolsdk.ai/google-analytics-mcp"
],
"env": {
"GOOGLE_CREDENTIALS": "Your Google Credentials JSON String"
}
}
}
}
Available Tools
analytics_report
Get comprehensive Google Analytics data with custom dimensions and metrics. Can create any type of report.
Parameters:
propertyId(string, required): Google Analytics property IDstartDate(string, required): Start date (YYYY-MM-DD)endDate(string, required): End date (YYYY-MM-DD)dimensions(array, optional): Dimensions to querymetrics(array, required): Metrics to querydimensionFilter(object, optional): Filter by dimension valuesmetricFilter(object, optional): Filter by metric valuesorderBy(object, optional): Sort results by dimension or metriclimit(number, optional): Limit number of results (default: 100)
realtime_data
Get real-time analytics data for current active users and activity.
Parameters:
propertyId(string, required): Google Analytics property IDdimensions(array, optional): Dimensions for real-time datametrics(array, optional): Real-time metrics (default: ['activeUsers'])limit(number, optional): Limit number of results (default: 50)
quick_insights
Get predefined analytics insights for common use cases.
Parameters:
propertyId(string, required): Google Analytics property IDstartDate(string, required): Start date (YYYY-MM-DD)endDate(string, required): End date (YYYY-MM-DD)reportType(string, required): Type of quick insight report (overview, top_pages, traffic_sources, etc.)limit(number, optional): Limit number of results (default: 20)
get_metadata
Get available dimensions and metrics for Google Analytics property.
Parameters:
propertyId(string, required): Google Analytics property IDtype(string, optional): Type of metadata to retrieve (dimensions, metrics, both)
search_metadata
Search for specific dimensions or metrics by name or category.
Parameters:
propertyId(string, required): Google Analytics property IDquery(string, required): Search term to find dimensions/metricstype(string, optional): Type of metadata to search (dimensions, metrics, both)category(string, optional): Filter by category
Error Handling
The server provides detailed error messages with actionable solutions:
- Permission Errors: Clear instructions on how to grant access to your service account
- Configuration Errors: Guidance on setting up environment variables correctly
- API Errors: Detailed information about what went wrong with the Google Analytics API
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.