Where your sessions come from
Sessions, users, and new users by session source / medium, default channel group, and campaign, including the Google Ads campaign and account names that GA4 records.
Catchr MCP gives Claude and ChatGPT read access to your GA4 properties, next to Google Ads, Meta Ads, and 100+ marketing sources. Connect Google Analytics in Catchr, then ask about traffic, conversions, and revenue by channel. Catchr hosts the connection.
“Compare paid media performance across my client accounts and flag the biggest changes.”
Google Analytics
Google Ads
GA4
Used by the world's leading companies
Catchr MCP queries Google Analytics data through the Catchr connector. Your assistant can discover the metrics and dimensions available for your connected properties.
Sessions, users, and new users by session source / medium, default channel group, and campaign, including the Google Ads campaign and account names that GA4 records.
Engagement rate, average session duration, views, and conversions by landing page, device category, and country.
Purchases, purchase revenue, total revenue, items purchased, and first-time purchasers, for each source and campaign.
Compare the setup you maintain and the data your assistant can put next to GA4. Google provides an experimental open-source MCP server; Catchr provides a hosted connection across marketing sources.
Choose Google’s server if you want to run your own GA4 connection. Choose Catchr when you want to compare GA4 with the ad platforms that send traffic, across your connected client properties.
Connect your Google Analytics properties in Catchr, then add Catchr MCP from the Claude or ChatGPT directory. Each step is detailed on the destination pages below.
Replace the bracketed values before you ask. Connect each source used in the prompt, and check that dates, currencies and attribution rules are comparable.
Using Catchr, for [client], combine last month's spend from Google Ads, Meta Ads, and Microsoft Ads with GA4 purchase revenue by session source / medium, and show the ROAS of each channel next to the ROAS each ad platform reports.
Copy promptUsing Catchr, list the landing pages that received the most paid sessions in GA4 over the last 30 days, with their engagement rate and conversions, and the Google Ads and Meta Ads campaigns that send traffic to them. Flag the pages below [40]% engagement.
Copy promptUsing Catchr, compare daily Shopify revenue with GA4 purchase revenue for [store] over the last 60 days, and list the days where the gap is above [10]%, so I can check the tracking.
Copy promptUsing Catchr, for each GA4 property I connected, give me last week's sessions, conversions, and revenue against the week before, with the three largest drops at the top.
Copy promptA GA4 MCP server connects an AI assistant such as Claude or ChatGPT to your Google Analytics 4 properties through the Model Context Protocol, so you can ask about traffic, conversions, and revenue in plain language instead of building an exploration.
Yes. Google publishes an open-source Google Analytics MCP server on GitHub, in the googleanalytics/google-analytics-mcp repository. Google labels it experimental, and you run it on your own machine.
Not with Catchr: you sign in to Google Analytics in Catchr with an account that has access to your properties. Google's own server needs a Google Cloud project with the Analytics Admin API and Data API enabled, plus credentials created with the gcloud command line.
Catchr’s Google Analytics reporting tools read the properties you selected. They cannot edit events, conversions, audiences, or property settings. You can disconnect Catchr from your assistant at any time.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.