I design and build a custom MCP server that connects an agreed AI client to your existing business APIs. We start with a useful workflow, define the tools it needs, and deliver an integration your team can inspect and maintain.

One TypeScript MCP server with up to five tools across two documented REST APIs. Includes input validation, structured responses, error handling, scoped credential configuration and setup in one agreed compatible client.

We agree read and write actions before implementation. Write actions include appropriate review points. The sprint uses an existing authentication method and an agreed local or staging environment.

Source code, tool schemas, agreed sample-data checks, setup instructions and a practical handover. The first milestone defines inputs, outputs, permissions and acceptance criteria; the second builds and verifies the integration.

I founded BRTHLS and Frihet. The linked Frihet case includes the public product, a demo with fictional business records and an open-source MCP implementation.

The listed fee covers the integration sprint above. Plan for two weeks once the API documentation, scoped access and acceptance criteria are ready. Hosting, subscriptions and API/model usage are paid separately. Larger agent workflows, custom authentication platforms and ongoing operations are scoped separately.

Send the target MCP client, API documentation and one example of the action you want the assistant to perform. I will confirm fit before work begins.