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analytics
Pull reports, find insights, and take action on Google Analytics 4. Just ask. No dashboards, no exports, no waiting.
8 actions available to automate your Google Analytics 4 workflows.
Execute GA4 runReport with arbitrary metrics and dimensions.
Traffic acquisition data including source, medium, campaign, and channel groupings.
Page-level performance data including views, engagement, and user behavior.
Event tracking data including event names, counts, and user engagement.
Geographic performance data including country, region, city, and language.
Technology breakdown data including browser, device, OS, and platform.
User demographic data including age, gender, interests, and user type.
E-commerce performance data including transactions, revenue, and product metrics.
Sign up and connect your Google Analytics 4 account to InsightfulPipe.
Add the MCP server URL to your favourite AI app and authenticate to our platform.
That's it! Ask your AI assistant anything about your Google Analytics 4 data.
Explore other servers that work well with Google Analytics 4
The Google Analytics 4 MCP server connects your GA4 properties directly to Claude AI. Skip the complex GA4 interface and ask Claude questions about your website and app analytics in plain English.
Query sessions, users, pageviews, events, conversions, traffic sources, and user behavior. Claude retrieves the data and provides analysis, trends, and insights.
Supports multiple GA4 properties and custom dimensions/metrics for advanced analysis.
Real-world applications for connecting Google Analytics 4 to your AI assistant.
Understand where your traffic comes from, which channels perform best, and how traffic trends over time.
Analyze conversion rates, identify drop-off points, and compare conversion performance across segments.
Explore how users navigate your site, which pages engage them, and where they exit.
Connect marketing campaigns to conversions and understand which channels drive results.
Here are some things you can ask your AI assistant about your Google Analytics 4 data.
“How many sessions did we have last week compared to the previous week?”
Quick traffic comparison
“What are the top traffic sources by conversions this month?”
Identify best-performing channels
“Show me the conversion rate by device type”
Compare mobile vs desktop performance
“Which landing pages have the highest bounce rate?”
Find pages that need optimization
“What is the user journey from homepage to purchase?”
Understand conversion paths
See why marketers prefer MCP connectors over manual exports and API integrations.
| Feature | MCP Server | Manual Export | Raw API |
|---|---|---|---|
| Natural language queries | ✓ | ✗ | ✗ |
| Real-time data access | ✓ | ✗ | ✓ |
| No coding required | ✓ | ✓ | ✗ |
| AI-powered insights | ✓ | ✗ | ✗ |
| Cross-platform analysis | ✓ | ✗ | ✗ |
| Setup time | 5 minutes | Ongoing | Days/Weeks |
A Google Analytics MCP server connects your GA4 property to Claude AI using the Model Context Protocol. This lets you ask Claude questions about your website analytics—traffic, conversions, user behavior—without navigating the GA4 interface or building reports.
The MCP server works with Google Analytics 4 (GA4). Universal Analytics was sunset by Google in 2024, so GA4 is now the standard for Google Analytics.
You can query sessions, users, pageviews, events, conversions, traffic sources, device data, geographic data, and custom dimensions/metrics. Essentially anything available in the GA4 Data API.
Yes, you can connect multiple GA4 properties and ask Claude to compare data across them. This is useful for businesses with multiple websites or regional properties.
The MCP server queries the GA4 Data API, which typically has data available within 24-48 hours of collection. For real-time data, you would still need to use the GA4 real-time reports directly.
Start your free trial today and connect Google Analytics 4 to your AI workflows.