MCP servers that run in production, not a local demo.
Your systems sit behind a tool the model queries. Answers are exact, results are small, and your data stays in infrastructure you control, never in a third party’s model.
Most “AI reads your data” setups work by dumping your file into the model’s context. That hallucinates on precise questions and re-bills you for the same data on every message. I build the other thing: real systems behind a queryable tool, with the auth and safety a security team will actually sign off.
What I build
I don’t ship one-off servers. I build and operate production MCP fleets, deployed the same way every time.
Hosted MCP servers
Reachable over HTTPS, deployed on your cloud, not a stdio toy. Containerised, self-registering behind a central gateway.
Enterprise auth
OAuth 2.1 (client-credentials, JWT, dynamic client registration per RFC 7591) at the gateway, or API-key and tenant-scoped access. Whatever your security posture needs.
Real data behind a tool
The model queries your database, files, or internal systems. The raw data never bloats your model’s context.
File in, file out
Upload once, query many times. Exports come back as time-limited download links, not walls of text.
Ingestion to search
I build ingestion, embedding and search pipelines over your own content, so the model can find the right thing fast.
Safe deploys, zero exposure
Automated rollout with auto-rollback and smoke tests. HTTPS with no public inbound ports, least-privilege IAM and managed secrets throughout.
Who it’s for
Teams that want to use Claude, or any MCP-capable client, against their own systems, but can’t or won’t hand their data to a third-party model provider. Admin, education, government, and any org with a data-governance posture. You keep your data in infrastructure you control.
How it works
- Scope. A short call to map the system you want the model to reach.
- Build. I build the server against your tool or database, authed and tenant-isolated.
- Deploy. It ships to your cloud, containerised, with docs and a handover your team can run.
Typically engaged as a fixed-scope build or an ongoing retainer.
Get in touch
Tell me what system you want the model to reach and I’ll come back to you. You will get a reference number by email straight away.