Custom MCP servers
Purpose-built servers exposing your databases, APIs and tools to AI — typed, versioned and documented.
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.
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.
Purpose-built servers exposing your databases, APIs and tools to AI — typed, versioned and documented.
OAuth, scoped access, read/write boundaries and full audit logging — least privilege by default.
MCP front-ends for systems that were never designed for AI — ERPs, mainframe exports, internal tools.
Deployed on Cloudflare, Azure or AWS with authentication, monitoring and uptime SLAs.
Contract tests, injection-resistance checks and load testing before anything touches production data.
Your team gets the code, the docs and the runbook. No lock-in — the connector is yours.
A first MCP server typically ships within a one-week sprint.