status: operatingENDE

MCP server development

The Model Context Protocol is how agents reach real systems; we build the servers that expose yours - scoped, typed, and tested.

The problem

An agent is only as useful as the systems it can reach. The Model Context Protocol standardized the plug - but a production MCP server is still an API-design problem: authentication, pagination, token budgets, error surfaces an agent can actually recover from, and schemas strict enough that the model cannot hold them wrong. A thin wrapper around an existing REST API usually fails all of these quietly.

We treat tool design as the product. The difference between an agent that fumbles your API and one that works is almost never the model; it is the twenty decisions in the server.

Engagement

Fixed-scope builds. You name the systems and what agents should be able to do with them; we return a tool inventory and a security model before any code. The deliverable is a server your team owns: typed, tested, documented, packaged for your distribution channel.

Start by email: what to include is on the contact page.

What we ship

  • Custom MCP servers over your APIs, databases, or internal tools
  • Authentication, rate limiting, and least-privilege scoping per tool
  • Typed schemas and integration tests for every exposed operation
  • Packaging and distribution: npm, container image, or internal registry
  • Compatibility verified across MCP clients - Claude apps, IDEs, custom agents

Proof

Common questions

What is an MCP server?

A small service that speaks the Model Context Protocol and exposes your systems as typed tools an AI agent can call. Instead of one-off plugins per assistant, you build one server and every MCP-capable client can use it.

Is it safe to expose internal systems to an agent?

Exposure is a design decision, not a switch. Each tool gets its own permission scope, inputs are validated against schemas, destructive operations can require human confirmation, and everything is logged. The agent sees capabilities, not your database.

Which clients will it work with?

Any MCP-capable client. We test against the Claude apps and Claude Code, common IDE integrations, and custom agent runtimes - the protocol is the compatibility layer.

What does an engagement look like?

You name the systems and the operations agents should perform. We come back with a tool inventory, a security model, and a fixed scope; then we ship the server with tests and documentation. Most servers are a focused, short build.

Have you actually shipped one?

Yes - Azeth, our machine-economy trust infrastructure, is distributed as an MCP server (alongside an SDK and CLI) and runs against two public testnets. The case study walks through the architecture.

Industries

last edited 2026-07-02