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MCP server development

Let AI work with your data, on your terms.

An MCP server is the bridge between an AI assistant and your systems. We build that bridge for your database, online store or internal tools, and we decide together exactly what the AI is allowed to see and do.

AI assistant · connected to shop-db
Which products had the most returns in September?
shop-db › returns_by_product · read-only
These three stand out. The mug returns mostly mention breakage in transit, so the packaging may be worth a look.
Ceramic mug, 350 ml24 returns
Linen apron, M17 returns
Oak serving board11 returns

Example conversation. The data is made up.

In plain words

MCP, explained without the jargon.

MCP stands for Model Context Protocol. It's an open standard, introduced by Anthropic in late 2024 and now supported by Claude, ChatGPT, Microsoft Copilot, Cursor and a growing list of other tools.

Think of it as a power socket for AI. Instead of someone copying data into a chat window by hand, the assistant plugs into an MCP server and asks it for what it needs: an order, a stock level, a customer's last invoice. The server checks the request against the rules you set, fetches the answer from your system and passes it back.

The AI never touches your database directly. It only gets the actions the server offers it, and nothing more.

1 · Asks AI assistant

Claude, ChatGPT, Copilot or another tool your team already uses.

2 · Checks Your MCP server

Built by us. Decides what the AI may see and do, signs people in and logs every request.

3 · Answers Your systems

MySQL, PostgreSQL, WooCommerce, an ERP, a custom app or any system with an API.

Use cases

What companies use it for.

The best first project is usually the question people in your company ask every week and wait hours to get answered.

01

Ask your sales data questions

"How did the Oradea store do compared to last March?" Managers get the answer in a sentence instead of waiting for someone to build a report.

02

Faster customer support

Your support team asks the assistant for an order's status, the shipping details or the invoice, without switching between three admin panels.

03

Online store management

Check stock, find slow-moving products or draft product descriptions straight from your catalogue.

04

Internal knowledge

Connect manuals, procedures and price lists, so new colleagues find answers without interrupting anyone.

05

Reports on demand

Weekly summaries, unpaid invoices, your best customers. Things that used to take an afternoon in Excel.

06

Your own software, AI-ready

Already have a custom app or ERP, maybe one we built for you? We give it an MCP interface so AI tools can work with it too, without changing how the app itself works.

Security

Your data stays under your control.

Connecting AI to a company database is a serious decision, and we treat it that way. Every server we build follows the same rules.

Read-only by default

The AI can look, not change. Write access is added only for specific actions you approve, like creating a draft order.

Only the data it needs

We expose specific actions, such as "find order by number". The AI never gets a free-form window into the whole database.

Everyone signs in

Each person connects with their own account and sees only what their role allows. A sales rep doesn't see payroll.

Everything is logged

Every request is recorded: who asked, what was fetched and when. Useful for audits, and for GDPR.

Hosted in the EU

The server runs on our managed servers in Europe, or on your own infrastructure if you'd rather keep it in-house.

Sensible limits

Rate limits and timeouts stop a runaway assistant from overloading your systems at the busiest hour of the day.

How it works

How a project runs.

You'll know the scope and the price before we write any code. Most of the thinking happens in step two, and that's on purpose.

Book the first call
01

Discovery call

We look at your systems and at the questions people in your company ask most often. If MCP isn't the right tool for what you need, we'll tell you.

About an hour · free
02

Agree on the actions

Together we write the list of things the AI may do, each with its own permissions. You approve that list before we build anything.

Fixed price in writing
03

Build and test

We build the server in TypeScript or Python with the official MCP SDKs, then test it with the AI tools your team actually uses, on real questions.

Often 1–2 weeks for one database
04

Launch and look after it

We deploy it, monitor it and update it as the protocol and your systems change. Same team, same phone number.

Hosting & updates included
FAQ

Fair questions.

Something we haven't covered? Ask us directly.

Do I need to replace my current systems?
No. The MCP server sits next to what you already have and talks to it. Your database, your shop and your software stay exactly as they are.
Which AI assistants can use it?
Any tool that supports MCP. Today that includes Claude, ChatGPT, Microsoft Copilot Studio, Cursor and VS Code, and the list keeps growing. One server works with all of them, so you're not tied to a single AI company.
Will the AI company see our data or train on it?
The assistant only sees the results of the actions it calls, and only when someone asks it something. Whether those results can be used for training depends on the AI service and the plan you use. Business plans from the major providers generally don't train on your data, and we'll go through the terms with you before launch.
Can it change data, or only read it?
It can change data if you want it to. We add write actions one at a time, each with clear limits, and you can require a person to approve every change before it happens.
How much does it cost?
It depends on how many systems we connect and how many actions you need. After the first call you get a fixed price in writing, with no open-ended hourly billing.
You built our website or app. Can you connect that?
Yes, and it's usually the quickest kind of project, because we already know how it's built.
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