Marketing teams that spend hours exporting CSV files from ad platforms, analytics tools, and CRMs can now ask AI assistants direct questions about live performance data. Catchr.io announced a new MCP connector on September 8 that links Claude, ChatGPT, Gemini, and Copilot to over 100 marketing data sources, letting users query metrics without pulling a single export.
The connector appears in the Claude directory as an official MCP integration and in the ChatGPT app store. Gemini, Copilot, and other MCP-compatible clients connect through a public endpoint. Setup requires searching for Catchr, installing it, and authenticating an account - three steps with no code.
What the connector replaces
A typical agency client runs paid media on two or three ad networks, tracks site performance in GA4, manages leads in a CRM, and sells through an e-commerce platform. Each tool uses its own export format, metric names, and refresh cadence. Answering a straightforward question about CPA or campaign momentum usually means pulling numbers from multiple sources, reconciling them, and pasting them into a sheet. Across a full client roster, that routine consumes roughly one working day per week.
AI assistants without a live data connection can only reason about numbers someone has already copied into the chat. The Catchr MCP connector places a connected, refreshed data layer directly behind the assistant. When a marketer asks "Why did CPA rise last week?" or "Which campaigns lost momentum?", the answer draws on current data from Meta Ads, Google Ads, GA4, HubSpot, Shopify, and other connected sources.
How the data layer works
Catchr replaces per-platform exports with a single authenticated connection for each source. Once connected, the same data flows to more than 20 destinations: Looker Studio, Power BI, Tableau, Google Sheets, Excel, BigQuery, the Catchr API, and now AI assistants. Adding a new dashboard, warehouse export, or AI analysis means adding a destination rather than rebuilding the pipeline.
Authentication happens once per platform, with specific ad accounts, properties, or portals selected during setup. Destinations come next - reporting tools, spreadsheets, warehouses, and AI assistants all reuse the same connected sources. After that, reports open with current numbers and assistants answer performance questions without manual refreshes.
Unified data fields normalize metric names across platforms. "Spend" or "conversions" carry the same meaning whether the row came from TikTok Ads, LinkedIn Ads, or Pinterest Ads. That consistency makes cross-channel questions answerable in a single prompt.
How teams use it day to day
Account managers open a current cross-channel report, ask an AI assistant why performance shifted, and turn the answer into priorities for the client call. A pre-call check might surface that CPA rose because prospecting spend grew faster than conversion volume, along with the three campaigns that need attention. Freelancers connect a client's stack once and run pacing checks, campaign reviews, monthly summaries, and margin calculations on live data instead of Monday morning exports.
Data and operations teams manage sources, accounts, refresh schedules, and destinations from one place while account teams keep using whichever reporting tool they prefer. The data layer is standardized without restricting the tools built on top of it.
"Every report used to start with five exports and a morning of copy-paste. Now it starts with the actual client work," said Florian Cabirol, CEO at Catchr. "Adding AI assistants as a destination was the obvious next step. The data is already connected and reliable. Letting people question it in plain language removes the last manual step between the numbers and the recommendation."
Supported platforms and availability
Catchr connectors span paid media, web and app analytics, CRM, ecommerce, SEO, email, and social platforms. Supported sources include Google Ads, Meta Ads, Microsoft Ads, LinkedIn Ads, TikTok Ads, Amazon Ads, Pinterest Ads, Snapchat Ads, X Ads, Spotify Ads, Google Analytics 4, Matomo, Google Search Console, Google Business Profile, YouTube Analytics, Instagram, TikTok Organic, LinkedIn Pages, Shopify, WooCommerce, HubSpot, Klaviyo, and Mailchimp.
The platform also includes an Add-on Hub with a GEO module for tracking how brands appear in AI-generated content, educational courses on Looker Studio, Google Sheets, and Power BI, and a template library covering paid media, SEO, web analytics, lead generation, email, social, and ecommerce reporting. Catchr is used by agencies and brands including Tigrz Paris, Mojo, and The Browz.
Catchr MCP is available now to all Catchr customers. New users can start with a 14-day free trial with no credit card required. Teams can book a live product demo at the Catchr website.
Why this matters for marketers
The export-to-spreadsheet routine has been the unglamorous constant in marketing analytics for years. Catchr's move puts a live query layer between the marketer and the data, which changes the workflow from "pull numbers, then analyze" to "ask a question, get an answer." For AI for Marketing practitioners, this removes the data preparation step that typically precedes any meaningful analysis. Account managers and freelancers who spend Mondays exporting data can redirect that time toward client strategy - without learning a new tool or changing where they build reports.
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