Your marketing data, finally easy.
Ask questions in plain language. Explore, discover, and visualize your marketing performance — through Claude, powered by the Rampmetrics MCP.
What is an MCP?
At its simplest: an MCP lets you use an AI engine like Claude to explore and discover things with your data. You ask; it answers. That's the whole idea at the entry point.
Most people who know what an MCP is picture the advanced, build-it-yourself version — pull raw data from Salesforce, pull more from HubSpot, combine it, build your own attribution model. That's the opposite of what we offer. Ours is the training-wheels version: usability, simplicity, access, and creativity. Not technical. Not complicated. Not something that requires you to be a data scientist.
The vision. For years we've had deep, in-depth data — but data gets locked up. You don't know how to run the report. You forgot the training. You wait on the analyst. The MCP unlocks that data and hands it to a wider group of people — creative, usable, immediate. Let marketing teams just do marketing. Not burdened by data. Empowered by it.
AI is only as good as the data beneath it.
Before any of the excitement about MCPs, one thing has to be true. The data you're analyzing with AI has to be complete, rich, in-depth, accurate, and trusted — ready to go the moment you ask.
Get that wrong and AI doesn't just fail quietly — it can make things worse, producing confident answers built on an incomplete picture. Get it right, and the opportunity opens all the way up. A strong foundation is the whole game. That's what Rampmetrics is built on.
One connection. Three ways to see your answer.
You add the Rampmetrics MCP as a connector — in Claude (claude.ai, Claude Desktop, Claude Code), or any AI that supports it. Make the connection, then just ask your business questions.
01 · Ask
“How did the Florida trade show do?” You get a comprehensive, text-based answer — then keep going. Ask follow-ups, double-click, drill down on whatever you want to know.
02 · Spreadsheet
Ask Claude to turn the data into a spreadsheet and it builds a multi-tab workbook — people, accounts, person-milestone attribution, opportunity-milestone attribution — a full breakdown of how the event did.
03 · Visualize
“Make this more visual for me.” Claude generates a dashboard right in the UI — nice by default, and for advanced users, full creative control over how it’s rendered.
Great answers, without even trying.
Great results aren't luck. They come from three things working together — the three legs of the stool.
Leg 01 · Clean, complete data
The data delivered through the MCP is comprehensive, vetted, trusted, and multidimensional — the full story, with variety across sources. Broad question or narrow one, the data’s there to answer it.
Leg 02 · Focused scope
You can’t get a pizza recipe out of it. The data is tightly scoped to what B2B marketing teams need to know about their program — what’s working and what isn’t. That focus is a feature.
Leg 03 · Thought-out context
The C in MCP. Behind the scenes we pass the model a full, deliberate picture — what the data is, what’s available, what you can do with it. It already knows what you’re looking at.
No training required. Just ask the MCP what data sources are available and what kinds of questions you can ask. A help overview surfaces right inside the experience — documentation is nice, but you can just go for it.
Raw ingredients aren't a meal.
Point AI at incomplete data and you're at risk of producing — and spreading — confident, authoritative answers that simply aren't accurate.
Connecting an AI straight to raw CRM or marketing-automation data is useful. But it hands the model a pile of raw ingredients — not a curated dataset. There's no closed-loop, multi-touch, campaign-conversion layer already built in. So the answer that comes back may look right and still be incomplete.
The owner's job: only trusted data
The way to let your team succeed with an MCP is straightforward. As the RevOps, marketing-ops, or data team, you only let them work through data the organization already trusts. Success with MCPs isn't only about how capable the AI is — it's about pointing it at trusted, vetted data in the first place.
Explore. Discover. Visualize. Then take action.
Any MCP can work with information, analyze, and visualize inside Claude. What sets ours apart is the last step: you can take action on what you've built.
Tell it: “Save this as a report in Rampmetrics.” The MCP has connectivity back into the Rampmetrics structure, so it saves your queries and writes the result into real reporting. Log into the app later and there's a proper dashboard waiting — everything you built by voice, in the ad hoc flow, now durable.
Explore on your own, then share it in Claude or just point a teammate to the dashboard in Rampmetrics. Voice to dashboard. Ad hoc to durable. Personal to shared — one fluid experience.
Ask “how did this event do?” and the AI might surface something you never went looking for — that the event massively overperformed with a job title you didn't realize it reached. Because the data underneath is trusted and vetted, all that free-wheeling exploration stays reliable. The safety is exactly what makes the discovery something you can believe.
The foundation this runs on.
The Rampmetrics MCP, answered.
- Does Rampmetrics have an MCP server?
- Yes. You add the Rampmetrics MCP as a connector in Claude (claude.ai, Claude Desktop, or Claude Code) — or any AI that supports MCP — and then ask your marketing questions in plain language. No data export is required; the AI queries your Rampmetrics attribution data directly.
- What is an MCP?
- At its simplest, an MCP (Model Context Protocol connector) lets you use an AI engine like Claude to explore and discover things with your data. You ask; it answers. The Rampmetrics version is the training-wheels one — built for usability, simplicity, and access, not for data scientists building their own models.
- Can I connect ChatGPT or Claude to my attribution data?
- Yes, through Bring Your Own AI (BYOAI). Most of the excitement today is around Claude, but any AI that supports MCP can connect. You use the AI subscription you already have with your Rampmetrics data — no export, no separate AI fees.
- Do I need to be technical to use it?
- No. There is no training required. Ask the MCP what data sources are available and what kinds of questions you can ask, and a help overview surfaces right inside the experience — the helper information lives in the MCP itself.
- What can the Rampmetrics MCP do that a generic one can’t?
- It can take action. Tell it “save this as a report in Rampmetrics” and it writes the result back into real Rampmetrics reporting — so a proper dashboard is waiting when you log into the app. Voice to dashboard, ad hoc to durable, personal to shared.
Ready to optimize marketing?
Join leading B2B marketing teams who've transformed their marketing with Rampmetrics.