MCP server
Talk to your data from Claude, ChatGPT or Cursor
MCP (Model Context Protocol) is an open standard that lets AI tools read and update your systems directly. We’re building a ready MCP core, so your team can ask questions of its own data from the AI tool it already uses. It is in early access, not yet a finished service.
What is an MCP server, and why would we need one?
An MCP server sits between an AI tool and your systems and tells the tool what it may read or change. With one in place, a person on your team can ask Claude, ChatGPT or Cursor about your own data and get an answer from the real records, not from a copy pasted into a chat.
What does the first version do?
Reading and updating records in your database, spreadsheets or CRM. The next step is shaping the data for the model: querying a large table, filtering it and computing statistics, so the AI tool gets a compact, relevant context to analyse instead of raw rows.
What does early access mean?
The core is still in development, and the scope of its first version isn’t fixed yet. If your use case fits what it can already do, we’ll say so on the call and quote it like any other build.
Which AI tools does it work with?
Any tool that supports MCP, such as Claude, ChatGPT or Cursor. Your team keeps using the tool it already has.
Sources: Model Context Protocol: introduction
Questions about this service
Is it ready to use today?
Not as a finished service. It is available as early access, scoped on the call.
What does it cost?
Early-access projects are scoped and quoted individually after the first call, with a fixed price agreed before the work starts.
Bring us one workflow. We’ll tell you what it needs.
A 30-minute call. Bring one real process or one sample document. We’ll tell you whether it needs an LLM, a small model, or just a script, and what it would take. No deck.