Capabilities

Give your AI real hands.

Custom MCP servers and AI agents that plug your assistant into your tools and data. Built for production, not for the demo.

Fig. 03Strain wave gear

Computed geometry: flexspline 200 teeth, circular spline 202 teeth, ratio 100:1, module 0.4 mm.

Who it's for

Business owners and teams whose AI assistant can talk but cannot act, because it cannot reach their systems.

Your assistant acts on your real tools instead of guessing from a chat window.
Every action runs behind proper authentication, so access is controlled, not hoped for.
It keeps working after launch, because it is deployed and built to be maintained.

How It Works

Strategy
Your goals get mapped to what is actually worth building and why it moves the business, before any code gets written.
Build
Your product gets designed and built across the full stack, with every decision from architecture to interface staying accountable to your outcome.
Deployment
Your idea moves from first concept to production, remote-first, with clear async communication and regular deployment checkpoints.

What is an MCP server, and why would my business need one?: A Model Context Protocol (MCP) server is how an AI assistant reaches your tools and data. Without one, the assistant can talk but cannot act on your systems. With one, it works on your real tools, behind proper authentication.
What do I get at the end of an MCP server project?: A production MCP server connected to your tools and data, authentication and access control designed in from day one, agent tooling tuned to the workflows your team runs, and deployment, documentation and a handover your team can run.
Is it safe to let an AI assistant act on my systems?: Every action runs behind proper authentication and access control, so access is controlled rather than hoped for. The guides on this site go into the detail, from OAuth 2.1 for MCP servers to a kill switch for agents.

Tell me which tools it should reach. You get a clear answer on fit, fast.