Service
Give your AI model a direct line to your systems. MCP is the protocol. I build the server.
Book a callWhat this covers
Purpose-built MCP servers that expose your internal systems as tools Claude can call. Inventory, fulfilment, CRM, billing — anything with an API.
Well-defined tool schemas that give the model exactly the right interface — specific enough to be reliable, flexible enough to handle real-world variation.
MCP servers that run locally over stdio or serve remotely over HTTP. Deployed in Docker, integrated with your existing infrastructure.
If the use case is generic enough to help others, I can package and publish the server publicly — like Swell MCP, available on GitHub.
How it works
We identify which operations, data sources, and workflows the model needs to reach. Then we design the smallest set of tools that covers it completely.
MCP server implementation with proper error handling, auth, and input validation. Tools that fail gracefully tell the model what went wrong — not just that it did.
Connected to your AI client or agent loop. Tested against real queries until the model uses the tools correctly and consistently.
In the wild
$ mcp.server.start('eva')
> Registering tools...
> Server listening on stdio
Production MCP server for Eva — a mini ERP covering inventory, fulfilment, and warehouse management. Live in market.
$ mcp.server.start('swell')
> Loading ecommerce tools...
> Published to GitHub
Open source MCP server for the Swell ecommerce platform. Published on GitHub for the community.
Tell me what your AI needs to reach and I'll build the server that gets it there.
Book a call