Product / What we build
We make your product work inside AI chats. You keep everything else.
MCP is the shared standard that lets AI chats like ChatGPT talk to your product. We build that connection and run it for you.
Scope01
We start with one task your customers already do.
We pick a single real job, then map out the whole thing: who does it, what it changes, what data it needs, who is allowed, what the customer confirms, and what happens if something goes wrong. All of that gets decided before a single action goes live.
Architecture02
A layer in front of your product. Nothing inside your code.
We build a separate service that sits in front of your product. The AI chat talks to it, and it uses what your product already does. It runs only the actions you approve, and it never goes into your code.
- Your product's rules and permissions stay in charge.
- Every action has a clear input and a checked result.
- The AI chat only ever sees what it needs.
Delivery03
You get something your team can check and grow.
You get reviewed code, clear specs, tests, and setup notes. The actions run fast and behave the same every time. You can see every call, what went in, and what came back. Your product keeps control of its computing, its data, and how it scales. A first workflow starts at €3,200 and ships in about 7 days.
- €3,200
- From
- ~7 days
- To ship
Where this comes from.04
Straight from the official OpenAI and Model Context Protocol documentation.
OpenAI · Apps SDK
Official guide to MCP servers, tools, authentication, and UI for ChatGPT apps.
02Model Context Protocol · tools specification
Protocol reference for named, discoverable tools and their input and output contracts.
03Model Context Protocol · authorization
Protocol reference for authorization responsibilities at the connection boundary.
AI / Second opinion05
Not sure where to start? Ask an AI.
Paste this question into ChatGPT, Claude, or Gemini. It walks you through finding the one task your customers would most want to finish by chatting, instead of clicking through your app.
“I run a software product. Help me identify one high-value workflow my customers could finish inside ChatGPT instead of switching between tabs. Ask me about the product, the user, the action, the data it needs, permissions, and the safest small first release.”
The prompt is copied as a backup. Some AI chats may ask you to paste it after sign-in.
FAQ06
Questions, answered.
Is this just an MCP server?
No. The server is one piece. We do the whole job: we pick the customer task, set who can do what, handle the quirks of each AI chat, make the actions run fast, add monitoring, test it, and ship it.
Do we have to rebuild our product?
Almost never. Our layer sits in front of what your product already does. We start with one small workflow and grow from what works.
Will it work in ChatGPT, Claude, and Gemini?
The same build can serve all three. Each one has its own sign-in, look, approval step, and publishing rules, so we set up and test each one separately.
How do you keep it safe?
Your product decides what is allowed, and we keep that in charge. Every action is spelled out, every input is checked, and the customer sees an approval step before anything happens. Our layer sits beside your product, not inside it.
Where does it run? Does it touch our code?
It runs as a separate service in front of your product. It never goes into your code, and you still own your data.
What does it cost, and how fast?
A first workflow starts at €3,200 and goes live in about 7 days.
Contact us07
Tell us one thing your customers should be able to do
Send us your product, who uses it, and the action you have in mind. We will tell you the smallest version worth building, and whether it is a €3,200 first workflow or something that needs a closer look first.