Custom MCP Server Builds — make your product usable by AI agents

THE PROBLEM

An agent can only use what it can discover and call.

Most products expose a website and a login, not a tool an agent can invoke. So agents recommend the competitor whose product is reachable, and yours never enters the answer. Being online is not the same as being usable by an agent.

WHAT WE DO

A server an agent can list, call and get an answer from.

Tools, auth, and the discovery files an agent client reads.

Design the tool surfaceWe decide what an agent should be able to do with your product, and shape the inputs and outputs so the agent gets an answer it can actually use.

Build against the MCP specTools, schemas, auth and error handling, built to the Model Context Protocol and tested with a real MCP client.

Ship the discovery layerThe discovery files an agent reads before it decides anything, so your server can be found, not just called.

THE WORKING EXAMPLE

Our own live MCP server.

We do not need a client case study for this — our own server is the example, and it is live and inspectable.

Live endpoint

The MCP endpoint our own site runs. Point an MCP client at it and list the tools it exposes.

growaify.com/mcp → POST /mcp · JSON-RPC

Discovery descriptor

The file an agent client reads to learn what the server offers, before it calls anything.

/.well-known/agent-card.json → GET /.well-known/agent-card.json

HOW IT WORKS

How it works in 3 steps

From a scope call to a running server.

Scope call

We map what your product does and which parts an agent should be able to call, then quote the build.

Build the server

Tools, schemas, auth and the discovery files, against the MCP spec and tested with a real client.

Hand over and harden

You get the server, the docs and the discovery endpoints, running and inspectable.

PRICING

From $3,000 per project, quoted by scope

A lower bound and an honest one: the figure depends on what the server has to do.

Custom MCP server

from $3,000

per project, quoted by scope

Tools, schemas and auth
Discovery files an agent reads
Tested with a real MCP client
Handed over running

What moves the scope: the number of tools the server exposes; whether it is read-only or writes back into your systems; the auth model (a static key versus OAuth); who hosts and runs it; whether you want it listed in public MCP registries; and how much of the work is discovery and design versus implementation. Every project is quoted before we start.

Number of tools the server exposes

Read-only, or writes back into your systems

Auth model: static key or OAuth

Who hosts and runs the server

Discovery files and registry listing

Design and discovery effort vs implementation

Get your free demo See pricing

QUESTIONS BEFORE YOU START

MCP servers, answered plainly.

What engineering leads ask before commissioning a build.

What is an MCP server?

Model Context Protocol is the open standard AI clients use to discover and call tools. An MCP server exposes your product's functions to those clients, so an agent can use your product instead of guessing at it.

Can I see one you built?

Yes. Our own site runs a live MCP server at /mcp — you can inspect it, and read its discovery file at /.well-known/agent-card.json. It is a real, inspectable example, not a mock-up.

What does the price depend on?

Scope. The number of tools, whether the server is read-only or writes back, the auth model and who hosts it all move the figure. From $3,000, quoted per project before we start.

Do you need access to our systems?

For anything that reads or writes real data, yes — under an agreed access model, and ideally against a sandbox or staging copy first.

Is it just a wrapper around our API?

No. A useful MCP server decides what an agent should be able to do, shapes the inputs and outputs so the agent gets a usable answer, and handles auth and errors. A thin wrapper of a REST API is usually the wrong design.