MCP server builds · you own the code

Your AI agents can't see your data. I connect them.

A Model Context Protocol server is the bridge between your systems and Claude, ChatGPT, or the agents you run in-house. I've spent close to a decade building exactly this kind of integration — now I build them for your stack.

Your AI agentClaude · ChatGPT · in-housetools it can callMCP serverreaches only what you authoriseCRMWarehouseInternal APIyour systems, unchanged
$0platform fees after handover
100%of the code is yours
Weeksnot months to a working server

What you actually get

One server, scoped to your systems, that you own outright.

A server built for your stack

Your CRM, warehouse, or internal API exposed to an AI agent as tools it can call — with you deciding exactly what it's allowed to reach, and nothing more.

See the process

Built by someone who does this

Close to a decade as a sales engineer, building integration proofs that had to run against customers' real systems. An MCP server is that same job with a new consumer: an agent instead of a buyer.

You don't have to cut anything first

This is a standalone build — bring the stack you already have and I'll scope it. That said, wiring up four tools that do one job costs more to build and more to keep running, so if you suspect you're paying twice for something, the free 2-minute diagnosis next door is worth the detour first.

Run the free audit

Three separate tools. Take one, or take the path.

Each of these is bought, priced and run on its own, and each is worth doing by itself — none of them is a prerequisite for another. Run them in order and they compound instead: a bill you've already cut is a cheaper, cleaner thing to connect an AI agent to. That's the whole package, offered — not a gate.

Got a system your agents should be able to reach?

Tell me what's in your stack and what you want an agent to do with it. If it's a fit, I'll come back with scope and a fee. If it isn't, I'll tell you that too.

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