Connect GA4 to Cursor
Connect your GA4 data to Cursor with the Windsor.ai connector, so the dashboards and scripts Cursor builds use your real traffic, event, ecommerce, and landing page data.
Ask Cursor for a product funnel canvas, a landing page revenue report, or a channel quality script built on your own Sessions, Key events, Total revenue, and Item name fields.
Forget CSVs. Stop copy/paste. Connect in minutes. No code required.
Turn GA4 into dashboards and scripts built on your real events
Cursor works inside your project, so what it builds from your GA4 data stays with you as files, scripts, and canvases you can rerun. Key use cases:
Find where products drop out of the funnel
Cursor can line up Items viewed, Items added to cart, and Items purchased by Item name and build a canvas that shows which products lose shoppers at which step.
Judge landing pages by money, not visits
Ask for a report of Total revenue and Key events per Session by Landing page, so pages that attract traffic but never convert stand out.
Compare channels on engagement and return
Cursor can rank each Default channel group on Engagement rate, Key events, and Total revenue and write a script that reruns the comparison each month.
Audit tracking with the event list
Have Cursor list every Event name and Event count in your property and flag events that stopped firing, so tracking gaps are found before reports go wrong.
Using Windsor.ai to connect data from GA4 to Cursor
Without Windsor.ai, Cursor builds on placeholder numbers or on CSV exports you paste into the project. Windsor MCP gives Cursor live GA4 data with the real field names, so the dashboards and scripts it writes match your account.
Connect in minutes, then ask Cursor to build something with your GA4 data.
How to connect GA4 to Cursor with Windsor.ai
Explore our video tutorial and a step-by-step guide to add Windsor MCP to Cursor and start building on your GA4 data.
Add Windsor MCP in Cursor
Open Settings in Cursor Desktop and go to Tools & Integrations → New MCP Server. When mcp.json opens, add Windsor:
{
"mcpServers": {
"windsor": {
"url": "https://mcp.windsor.ai/"
}
}
}
Authenticate with Windsor.ai
Save mcp.json. Windsor appears in your MCP list and asks you to authenticate. Click Authenticate and sign in to Windsor.ai in the browser.
Ask Cursor to build on your GA4 data
Open a chat in your project and ask about your GA4 data.
FAQs
What GA4 data can Cursor use?
Windsor.ai gives Cursor access to 480+ GA4 fields. These are some of the groups; the GA4 field reference lists all of them:
- Traffic: Sessions, Users, New users, Engagement rate, Bounce rate, Default channel group, Session source / medium.
- Conversions and revenue: Key events, Total revenue, Transactions, Ecommerce purchases.
- Ecommerce funnel: Items viewed, Items added to cart, Items purchased, Add to carts, Checkouts, Item name, Item revenue.
- Pages: Landing page, Page path, Page title, Views.
- Events: Event name, Event count.
- Audience and device: Country, Device category, Campaign name, Date.
What prompts can I use to build with GA4 data in Cursor?
Cursor works best when you ask it to build something with a clear output. Each of these names the fields to use and the file or canvas you want back:
-
Pull Item name, Items viewed, Items added to cart, Items purchased, and Item revenue for the last 60 days. Build a canvas that shows view-to-cart and cart-to-purchase rates per product, and highlight products with many views and a cart rate in the bottom quartile. Add a short note on the likely cause for the five biggest gaps.
-
Pull Landing page, Sessions, Engagement rate, Key events, and Total revenue for the last 90 days. Calculate Total revenue per Session and Key events per Session, then write a report of pages with over 500 Sessions that sit in the bottom 20% on both. Group them by page type and suggest a test for each group.
-
Pull Default channel group, Sessions, Engagement rate, Key events, Total revenue, and Date by month for the last 12 months. Write a script that outputs a channel scorecard and flags any channel where Sessions grew while Total revenue per Session fell by more than 15%.
-
List every Event name with Event count for the last 14 days and for the 14 days before. Flag events with a drop above 40% or that show zero count recently, and write tracking_audit.md that separates likely seasonal changes from likely broken tags.
-
Pull Device category, Sessions, Key events, and Transactions by Country for the last 60 days. Build a canvas of conversion rate by device for the top 10 countries and write the three biggest differences with a suggested test for each.
-
Pull Campaign name, Sessions, New users, Key events, and Total revenue. Write a script that ranks campaigns by Total revenue per New user, marks campaigns with fewer than 200 Sessions as low confidence, and saves campaign_quality.csv.
Can Cursor turn GA4 data into dashboards I can share?
Yes. Cursor can render a dashboard, analysis, or report as a canvas next to the chat, and it saves the canvas so you can reopen and rerun it later with fresh data. On paid Cursor plans you can publish a canvas to a read-only share link for teammates. See the Cursor canvas documentation for the current plan requirements.
Can Cursor change my GA4 account?
No. With this setup Cursor reads your GA4 data through Windsor MCP. It can write scripts, files, and reports in your project, but it does not modify, update, or affect your connected accounts.
Can I combine GA4 data with other sources in Cursor?
Yes. Windsor.ai supports 350+ data sources, so you can connect GA4 alongside tools such as Google Ads, Facebook Ads, or Shopify and ask Cursor to work with them together. For example, ask Cursor to join GA4 Key events by Campaign name with Google Ads Cost and Facebook Ads Amount Spent, then write a script that reports cost per key event for every paid campaign.
How do I add Windsor MCP to Cursor?
Open Settings in Cursor Desktop, go to Tools & Integrations → New MCP Server, and add Windsor to mcp.json:
{
"mcpServers": {
"windsor": {
"url": "https://mcp.windsor.ai/"
}
}
}
Save the file, click Authenticate next to Windsor in your MCP list, and sign in to Windsor.ai in the browser.
Do I need to code to connect GA4 to Cursor?
No. The connection takes no code: connect GA4 in Windsor.ai, add Windsor to Cursor’s MCP settings, and sign in. After that you describe what you want in plain language, and Cursor writes and runs the code. You can read and edit everything it produces.
How much does it cost to integrate GA4 with Cursor using Windsor.ai?
The free forever plan covers 1 data source, so connecting GA4 on its own costs nothing and needs no credit card. Combining GA4 with other sources, such as Google Ads or Shopify, needs a paid plan: $19/month for 3 sources or $99/month for 7. Cursor is billed separately by Cursor. See the pricing page.
Do you have helpful links to get started with integrating GA4 and Cursor using Windsor.ai?
Yes, we have helpful resources to help you get started. You can explore our official documentation for GA4 to Cursor integration with Windsor.ai:
Tired of manual GA4 data exports? Try Windsor.ai today to build on live data

