Service — MCP Engineering

Connect AI to your systems — safely.

The Model Context Protocol is becoming the standard way to give AI access to tools and data. We design and build custom MCP servers so your models can query databases, call APIs and drive internal tools — inside boundaries you control.

Why MCP

One open standard instead of brittle glue.

Before MCP, every AI-to-system connection was a custom integration — fragile, unaudited, and rebuilt for every new model. MCP replaces that with a single, open protocol: build the connector once, use it with Claude, ChatGPT, Copilot and whatever comes next.

We were early adopters and have shipped MCP servers for CRMs, ERPs, data warehouses, ticketing systems and bespoke internal platforms.

What we deliver

MCP creation, end to end.

01

Custom MCP servers

Purpose-built servers exposing your databases, APIs and tools to AI — typed, versioned and documented.

02

Security & permissions

OAuth, scoped access, read/write boundaries and full audit logging — least privilege by default.

03

Legacy system bridges

MCP front-ends for systems that were never designed for AI — ERPs, mainframe exports, internal tools.

04

Remote MCP hosting

Deployed on Cloudflare, Azure or AWS with authentication, monitoring and uptime SLAs.

05

Testing & hardening

Contract tests, injection-resistance checks and load testing before anything touches production data.

06

Handover & ownership

Your team gets the code, the docs and the runbook. No lock-in — the connector is yours.

Make your systems AI-ready.

A first MCP server typically ships within a one-week sprint.