How we work

Discovery, solution,
rollout.

A custom MCP is not an off-the-shelf product - it is built around your systems and data. Here are the three steps, with no hidden parts and no commitment before it is clear what is needed.

Talk about the task
1

Discovery

A short call: what the AI should do, which data and systems it touches, and where the boundaries are. We leave with a clear picture and a proposal - no commitment.

2

Solution

We build the exact connection: what the AI sees, what it may do, and how it stays safe. We coordinate with your developer or vendor.

3

Rollout

We connect it in your environment, test on real cases, and go live. We stay for support after it works too.

Why this isn't self-service

Every business has its own systems, its own data and its own risks. There is no one button that fits everyone - so we don't sell one. Instead we build what is needed around your case, at the level of detail it demands. For the site alone there is a simpler path; this is about something deeper.

Let's start with your task

Write in one line what the AI should do. We'll get back to arrange a short call.

Talk about the task How we protect the data