An agent that can only talk is a demo. An agent that can reach the systems the business already runs is a coworker. The Model Context Protocol is how that reach is made explicit: named tools, scoped permissions, an audit trail of what was called and what was refused.
A custom MCP server is that boundary, written for your data — not a generic connector that sees too much and logs too little. We design what the agent may touch before we write a line, then we write the server so an IDE, an in-house agent, or a third-party client all hit the same door.
How we engage
- To start
- $7,499
- Then
- $210 / hour
- Plus
- API usage and any cost associated with the work is billed through. We do not mark it up as a surprise line — it is named in the proposal.
Why a custom server, not a starter kit
Starter MCP servers are useful for a laptop demo. They are the wrong shape for a CRM, a production database, or a ticketing queue that holds customer data. Permissions have to be designed, not inherited. Each tool should do one thing, decline the rest, and leave a log a human can read.
We treat the tool boundary the way we treat a security perimeter: small, deliberate, version-controlled. The same discipline as the agents that call it. If the work is really 'build us an agent,' that is Custom AI agent design. If the work is 'let any capable client reach this system safely,' that is this offering.
What you receive
A server that exposes exactly the tools the operation needs — queries, writes, lookups — against the systems you already trust. Auth and least privilege from the first commit. A written map of every tool, what it can do, and what it must refuse. Tests that include misuse, not just the happy path.
The deliverable is yours. Plug it into Claude, Cursor, an in-house agent, or a later build we write on the agentic-ai bench. We do not lock the protocol behind a vendor login we control.
How it is scoped
Discovery names the systems, the tools, and the refusal list. The build is scoped in writing. There is no catalog floor on this row yet — the price follows the number of systems and the sensitivity of the data, not a package name. If a workflow automation or a full agent is the shorter path, we will say so.
The explainer for a non-engineer is at /resources/what-is-an-mcp-server. Read that first if the acronym is new. Then we talk about your stack.