WHATAGRAPH MCP FOR GOOGLE ADS

Google Ads in Claude.
Backed by a data layer that actually holds up.

Most MCP connectors pull raw API data.
Whatagraph is a marketing intelligence platform that governs it first — unified, normalised, defined once across every channel and account.
Connect it to Claude and the answers are ones you can trust.
Trusted by 1,000+ marketing agencies and brands around the world
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You connected Google Ads to Claude.
The connector works. The answer doesn't.

Raw data lands in Claude and it reasons with what it has — different conversion definitions, no currency normalisation, no shared foundation. It gets loud and confident with numbers that don't match your platform. Add a second channel and it falls apart completely.
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Hallucinated math

The more channels you add, the worse it gets. Google Ads counts conversions one way, Meta another. Without an aggregation layer in between, the AI does its own data engineering inside the conversation. The numbers drift.

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No governance

Same Google Ads question, different answer depending on how you phrase it. No shared definitions means no shared truth — and no answer you can put in a client report.

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Nowhere to land

A chat reply isn't a client deliverable. The reporting workflow still happens elsewhere. Connecting Claude to a raw API doesn't close that gap.

This is what Whatagraph MCP does differently

Connect once and every channel you run — Google Ads, Meta, LinkedIn and more — is already unified and governed underneath it.
No rewiring, no definitions to maintain per channel. Ask anything. The foundation holds.
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What you can do with Whatagraph MCP

Get cross-channel answers instantly

Whatagraph MCP pulls from a single governed data hub, already converted and aggregated across all your channels. The number the AI gives you is the same number in your report. Every time.
MCP Case - A prompt asking about blended ROAS on a pink background.

Morning briefings without opening a dashboard

Start your day in Claude or ChatGPT? Whatagraph MCP surfaces clean, up-to-date performance data across your clients, brands, or locations, no login required.
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Let your team self-serve without tickets

Define your metrics once in Whatagraph. Everyone else, account managers, regional leads, marketing teams, queries them in plain language. No data team tickets. No queue.
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Build AI agents on a foundation that doesn't break

Connect Whatagraph MCP once. Every agent or workflow you build gets clean, governed marketing data underneath it, no per-channel connector to maintain, no data aggregation logic to rebuild.
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Ask anything. Act on the answer.

Query performance across any channel or date range, and soon, ask Whatagraph to make changes directly from the same conversation.
READ

Query your marketing data

Ask about performance across any channel, date range, or segment. Spend, ROAS, CAC, impressions, conversions pulled from your governed data hub.
CREATE (COMING SOON)

Take action through AI

Tell your AI assistant to create a new metric, adjust a report, or reorganise your data model. Whatagraph makes the change. You skip the clicks.

Frequently asked questions

All your questions answered. And if you can’t find it here, chat to our friendly team.

What is MCP?

MCP stands for Model Context Protocol — it's what makes it possible for AI assistants like Claude or ChatGPT to read from external systems like Whatagraph. Instead of copying data into a chat, your AI connects directly to the source.

How to connect Whatagraph MCP to Claude?

Follow these simple steps, no coding required:

  1. Open Settings in Claude and go to Connectors
  2. Add a custom connector and paste the Whatagraph MCP server URL
  3. Authorize with your Whatagraph account
  4. Start querying — ask anything about your Google Ads data in plain language
  5. Scale with skills — load ready-made prompt skills for briefings, audits, and pacing checks

Check out the documentation for more details.

Do I need a Whatagraph account to use the MCP?

Yes. The MCP connects to your Whatagraph data hub. Your existing integrations, blends, custom metrics, and source groups are all accessible through the MCP connection, no duplicate setup.

Is this different from Whatagraph IQ (the in-platform AI)?

Yes. Whatagraph IQ lives inside the Whatagraph platform. The MCP lets you access the same governed data foundation from outside the platform — in Claude, ChatGPT, Cursor, or any MCP-compatible tool your team already uses.

How is this different from connecting an AI tool directly to my Google Ads API?

Direct API connections give AI raw channel data — different metric names, different attribution windows, different currencies. The AI has to stitch them together and often gets it wrong. Whatagraph MCP gives AI your governed, blended, unified data. The same data model that powers your reports. No stitching, no hallucinated math.

Is the data secure?

The MCP connection uses the same authentication and access controls as your Whatagraph account. Each user only accesses accounts and data they're authorized to see. No data is stored by the AI application, queries are resolved in real time using your Whatagraph data.

See Whatagraph MCP
in action now