AI that knows your business. Not a generic one.
We build the MCP layer between AI and your systems.
Every AI tool can talk these days. But hardly any of them know your numbers, your customers, your strategy. With a custom MCP server we connect AI directly and securely to your data and systems. The result: analyses and recommendations about your business, instead of generic answers. And most importantly: you keep the reins. AI proposes, you decide.
Everyone has AI. Hardly anyone has a grip on it.
Marketing managers and owners see their teams working with AI every day. But what goes in? Which data gets pasted into which tool? What is that advice actually based on? Without structure you end up with a copy-paste economy: everyone feeds in loose context, nobody knows what the AI actually 'knows', and the quality of the output is a gamble. That is not an AI strategy. That is hoping for the best.
Generic output
AI without your context gives industry averages, not advice about your account.
No overview
Which data does your team share with which tool? Nobody knows exactly.
No control
Advice and actions are not traceable. Who approved what, and why?
One secure bridge between AI and your reality
MCP stands for Model Context Protocol, an open standard by Anthropic. It is a secure connection that lets an AI model retrieve the right information directly from your systems, within the boundaries you set in advance. No endless copy-pasting of context, no loose exports. Compare it to the difference between a new employee you have to onboard again every week, and an experienced colleague who already knows everything.
Read the full explanation without jargon: MCP: Why AI Will Soon Talk Directly to Your Business Systems
From scattered AI tools to one knowledge layer
A company brain as the foundation
We capture identity, brand values, tone of voice, goals and strategy as permanent context. Every AI analysis starts from who you are, not from scratch.
Connections to your systems
Google Ads, Meta, GA4, your CRM, webshop or data warehouse: we connect the sources that matter through one secure standard.
Semantic search in your own knowledge
The AI finds relevant insights, decisions and history from your own account, even when you do not know exactly what you are looking for.
Performance always at hand
Weekly and monthly snapshots per channel, with comparisons to last month and last year, directly available as AI context.
Reports straight from the source
Reports are fed from your own knowledge layer. No templates, but documents about your account.
Actions with approval
The AI prepares optimisations, but never just executes anything. Every proposal waits for human approval and is recorded.
AI proposes. You decide.
We do not believe in autonomous agents tinkering with your campaigns and systems unseen. We believe in experienced people validating AI output before anything happens. That is why we build every MCP with one clear rule: the AI gets exactly the access it needs (and no more) and every action is approved by a human first.
Permissions per role
You determine in advance which data the AI can see and which actions are possible. Per user, per system.
Approval first
Changes to campaigns or systems are proposed, never executed autonomously.
Everything traceable
Every question, every piece of advice and every approval is logged. You can always see what happened and why.
Your knowledge stays yours
The brain runs in your environment, on your data. A team member leaves or you switch tools? The context stays.
Also read: We build MCPs and give managers and owners back control over AI
Built for those responsible for the result
Marketing managers
Your team works faster with AI, but within boundaries you set. One knowledge layer instead of ten scattered tools, and always a view of what is happening.
Owners & management
You know what AI is doing in your company, with which data, and who signed off on what. Innovation without giving up control.
Agencies
Deliver AI that really knows the client, white-label on your own platform. Proven in practice and available through MAXai.
Four steps to your own MCP
Scan
Where does the context live?
We map your systems, data sources and knowledge. What does the AI need to know to advise sharply, and what should it not know?
Architecture
Boundaries first
We design the MCP layer: which sources we connect, which permissions apply, where the approval moments sit.
Build
Working, not theoretical
We build the MCP server, connect your systems and test with your team on real questions and real data.
Manage
Continuously better
We monitor, expand and train your team. The knowledge layer grows with every analysis. Your AI becomes more valuable every month.
Not a pilot. A proven approach.
This approach was not invented on a whiteboard. The MCP architecture behind MAXai was developed and proven in production: the platform runs for more than 25 clients, from client brain and performance snapshots to reports and prepared optimisations. We now build that same foundation custom for marketing teams, owners and agencies.
MAXai · Custom MCP
AI & Automation
Ready for AI that really knows your business?
Book an intro call. In 30 minutes we will show you what a custom MCP looks like for your systems, and how you stay in control.