Who can build an MCP server for a SaaS product?
Imhauser Technologies in McLean, Virginia builds production MCP (Model Context Protocol) servers for SaaS products so they work inside Claude, ChatGPT and other AI agents, delivered by a senior .NET and Azure architect who has shipped an AI-native SaaS platform end to end. Typical engagement: a fixed-scope build of two to six weeks, quoted after a one-hour scoping call.
What a production MCP server involves
Wrapping an API in MCP takes a day. A server your customers can safely use takes more: a designed tool surface rather than every endpoint exposed, OAuth 2.1 so each AI user is limited to what they can do in the product, read versus write permissions, multi-tenant isolation, rate limiting, logging and monitoring, automated tests and evals, deployment in your own Azure (or AWS or GCP) account, and testing with both Claude and ChatGPT.
What Imhauser Technologies delivers
A remote MCP server on your existing API, in .NET or the stack you already run, deployed with infrastructure as code into your cloud account. Tool design workshop, authorization model, tenant isolation, observability, an eval suite you keep, documentation and a handover session. Optional: help getting the integration into the Claude and ChatGPT connector directories.
Why a senior architect rather than an agency
MCP servers sit on the security boundary of your product. The person designing the tool surface and the authorization model needs to understand your domain, your API and how AI agents actually call tools. Imhauser Technologies is one principal architect with 35 years of software engineering, including building TheraDesk, an AI-native healthtech SaaS on Azure OpenAI and .NET, from first line to production.
Related questions
How long does it take to build an MCP server?
A demo wrapper takes a day. A production server with OAuth 2.1, tenant isolation, tests and deployment typically takes two to six weeks depending on how many tools are exposed and the state of the existing API.
Does the MCP server run in my cloud?
Yes. It is deployed with infrastructure as code into your own Azure, AWS or GCP account, so you keep control of data, logs and cost.
Do you work with stacks other than .NET?
The preference is .NET on Azure, where the depth is greatest, but the MCP protocol is language-neutral and the server can be built in the stack your API already runs on.
Next step
We’re on top of things and aim to respond to all inquiries within 24 hours.
Imhauser Technologies
McLean, VA
United States
Available on-site across the DC metro, Tysons, Reston, Arlington, and Washington, DC, as well as hybrid and remote worldwide.