Your AI assistant
ChatGPT or Claude receives your question and decides which available capability it needs.
“Why did CPA increase?”Catchr MCP connects ChatGPT and Claude to data from 100+ marketing platforms. Ask about campaign performance, client accounts, and channel changes without preparing another export.
“Compare paid media performance across my client accounts and flag the biggest changes.”
Meta Ads
Google Ads
GA4
MCP is an open standard that gives AI applications a consistent way to connect to external data and tools.
Without MCP, every AI-to-data connection needs its own integration. With MCP, applications such as ChatGPT or Claude can access multiple platforms and data sources through a single connection.
MCP does not make the AI omniscient, and it does not automatically expose everything. Each MCP connection defines what the AI can do, while authentication and permissions control which data it can access.
Each part has one clear job. Catchr handles the middle layer so marketers do not have to build it themselves.
Follow the guide for your assistant. Feature availability and permissions can depend on your AI plan and workspace settings.
Specify the account, date range, comparison, metrics, and the format you need. Use these as starting points.
Connect paid media, analytics, CRM, ecommerce, SEO, email, and organic social platforms from one place.
Catchr MCP is most useful when the next step depends on data spread across accounts, channels, and reporting surfaces.
Pull current KPIs, identify the largest movements, and turn them into a short client-ready briefing.
“Prepare a performance brief for Acme. Compare the last 30 days with the previous period and give me three points to discuss.”
Check whether a change came from spend, traffic, conversion, a campaign, or a specific account.
“Why did blended CPA increase last week?”
Review paid media and analytics signals together, then ask the assistant to show the supporting numbers.
“Compare Meta Ads and Google Ads efficiency by client.”
Move from raw metrics to a structured recap with context, questions to investigate, and recommended next steps.
What changed
Why it matters
What to do next
Plain answers for marketers evaluating MCP and Catchr.
MCP stands for Model Context Protocol. It is an open standard that lets AI applications connect to external data sources and tools through a common interface.
An MCP server makes selected data or capabilities available to an MCP-compatible application. Catchr MCP acts as the bridge between your AI assistant and the marketing platforms connected to Catchr.
An API exposes ways for software to exchange data or perform actions. MCP provides a standard designed for AI applications to discover and use those capabilities. Catchr handles the source APIs and exposes useful marketing-data capabilities through MCP.
No. Connect your sources in Catchr, add the remote MCP server URL to a supported AI assistant, and complete authorization through the interface.
Yes. Catchr provides dedicated setup guides for both. Custom MCP support can depend on your AI plan, your region, and your workspace administrator settings, so check the relevant guide before setup.
You can request performance summaries, period comparisons, campaign and account breakdowns, anomaly investigations, and client-ready recaps. Precise prompts should include the account, date range, metrics, comparison, and desired output format.
Catchr supports more than 100 platforms across advertising, analytics, CRM, ecommerce, email, SEO, and social. Explore the connector directory to confirm a specific source.
Our teams is always here to responds to any question you could have about our data connector.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
.svg){kind=logo}
.png){kind=logo}
