We build MCP connectors: secure, permissioned bridges between the software your business already runs and the AI assistants your team wants to use. Built on the open standard the AI industry has settled on.
No new software to learn, no rip-and-replace. The difference is whether your AI assistant can reach the systems where the real answers live.
MCP — the Model Context Protocol — is an open standard for connecting AI assistants to tools and data. We design and build the server side: the connector that speaks MCP on one end and your software on the other.
Your CRM, invoicing, planning or e-commerce platform. If it has an API — even a clunky one — we can wrap it in a clean, permissioned MCP connector your assistant understands.
The systems only your team knows: internal dashboards, custom tools, the database behind them. We build connectors that expose exactly the queries and actions you approve — nothing more.
No API? Not a dealbreaker. We open-sourced Swing MCP, a connector that lets AI assistants operate Java Swing desktop applications directly — clicking, typing, filling forms, reading tables — the “legacy” software most agencies won't touch.
Swing MCP is real, working proof — open source, listed in the MCP registry, installable as a bundle, and public for anyone to inspect. We build client connectors the same way.
A connector is a door. We build doors with locks, logs and a very short guest list.
You decide exactly what the AI can see and what it can do — per system, per action. Read-only where read-only is right. We design with the least access that does the job.
Every request the AI makes through the connector can be logged and reviewed. No mystery actions — you can always answer “what did it do, and when?”
The connector runs in your own infrastructure, next to your data — and you own the code. Handed over, documented, no lock-in to us.
A free 30-minute call about the systems you run and where the hours go. Within a week you get a written map of what's worth connecting first — and if a connector isn't worth it for you, we'll say so.
We agree exactly what the AI should be able to see and do, how access is permissioned, and where the connector will run. You approve the scope before anything is built or billed.
A first working connector typically takes two to four weeks. You'll see it working against your real systems early — not at the end.
We stay: monitoring, updates, security patches and new capabilities as your team finds more things worth asking for.
MCP — the Model Context Protocol — is an open standard that lets AI assistants work with your existing apps: read from them, act in them, through a connector you control. Your systems stay exactly where they are; the AI gets a safe, permissioned door in. Think of it as a universal adapter between AI assistants and business software.
Any assistant that supports MCP — and that list is broad. The standard originated at Anthropic (the makers of Claude) in late 2024, and has since been adopted across the industry: OpenAI, Google and others announced support in 2025. A connector we build for you isn't tied to one vendor's AI.
That's often exactly where a connector helps most. For desktop and legacy software we can connect at the application level — the AI operates the app itself. We've published working proof: Swing MCP, our open-source connector that lets AI assistants operate Java Swing desktop applications — clicking, typing, filling forms, reading tables and dialogs.
A first working connector typically takes two to four weeks. The free audit comes first and takes days, not weeks — a call, then a written map of what's worth connecting and in what order.
The audit is free. After it, the connector is scoped and priced — fixed-price where the shape is clear, short iterations where it isn't — and you approve the scope before anything is billed. If a connector isn't worth it for your situation, the audit will say exactly that.
Your choice. You own the code either way — documented, running in your own accounts. We're glad to stay on for run & improve: monitoring, updates, security patches and new capabilities as needs grow. And if you'd rather take it in-house, that's fine too.
Start with a free AI Opportunity Audit: a 30-minute call, then a written automation map for your business. If AI isn't worth it for you, we'll say so — that's the honest version of “talk to us”.
Book your free audit