MCP server for marketing data: ask questions instead of building reports

  • GA4, Search Console, ads and affiliate data in one AI assistant
  • Answers with figures straight from your accounts
  • As your own server, a reporting interface or a Claude skill
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What is MCP?

The Model Context Protocol is an open standard introduced by Anthropic in November 2024. It connects AI assistants such as Claude with data sources and tools. An MCP server is the bridge between the assistant and your accounts.

Figures from the source

The assistant works with real data instead of estimating. It queries Google Analytics 4, Search Console or your ad account through the official interfaces and states the period and source. This means answers can be checked at any time.

Built from our own work

We use the server ourselves in our daily work: for analyses, monthly reports and checking tracking setups. What you get is a tool that has proven itself in everyday agency work.

Google Analytics 4

Sessions, conversions, revenue and channels by freely selectable dimensions and periods. The basis is a clean setup of the kind we build in web analysis.

Google Search Console

Clicks, impressions, click-through rate and position by query, page, country, device or date. Ideal for year-on-year comparisons and for finding pages with potential.

Google Ads, META Ads and Microsoft Advertising

Cost, clicks, conversions and ROAS per campaign. The assistant can compare several ad accounts in one answer.

Affiliate networks

Sales and commissions from AWIN, ADCELL and Tradedoubler, broken down by publisher if required.

Google Tag Manager

An overview of tags, triggers and variables and a check of the container. Changes go into a workspace and are only published after your approval.

Cross-channel analysis

A summary across all connected channels shows in one answer what advertising cost and what it delivered.

1

Your own MCP server

You receive an MCP server for your accounts and connect it to your AI assistant, for example Claude. Your team asks questions directly in the chat they already use.

2

Reporting interface as SaaS

If you do not want to run your own AI assistant, you use our reporting interface. It accesses the same data and runs in the browser.

3

Claude skill

A skill teaches Claude fixed procedures, such as the monthly report in your structure or checking a Tag Manager container against our standard.

4

Initial conversation

We clarify which channels you use, who works with the data and which questions come up regularly.

5

Setup

We connect your accounts, test the queries and agree with you which access is granted.

6

Briefing

Your team learns from its own examples what good questions look like and how answers can be cross-checked.



 Offered on request 

How much time does your reporting cost you today?

We show you which analyses can be done with a single question.


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 Everyday examples 

Questions the assistant answers

You ask the questions the way you would ask a colleague. Some examples:

  • “Compare organic clicks from June to September with the previous year and name the ten pages with the largest increase.”
  • “Which queries have many impressions but a position between 8 and 15?”
  • “What did Google Ads and META Ads cost last month, and what revenue stands against that?”
  • “Which publishers brought the most sales in the affiliate programme?”
  • “Check the Tag Manager container for paused tags and tags without triggers.”

There are two things you should know. First, the assistant is no substitute for clean tracking, for example with server-side tracking: if conversions are set up incorrectly, the answers are wrong too. Second, the assessment stays with you. The assistant delivers figures and anomalies quickly, but a person makes the decision. Our blog article MCP Server in Marketing shows how to get started with Google Analytics 4. For fixed metrics you want to keep an eye on permanently, marketing dashboards remain the right complement.

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Let us talk about your reporting

Tell us which channels you use and which questions you regularly ask of your data. We will get back to you with a proposal.

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Senior Software Developer Team Lead Ahmed Badia 0228 243 313 54




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