Growaify MCP
Make your product usable by AI agents.
MCP servers, tool surfaces and agent-readable APIs — we design and build them, and we run our own live one as proof.
An agent can only use what it can call
Most products expose a website and a login. Agents need a tool.
Your product exposes pages and a login form — nothing an agent can invoke, so it works around you or picks a competitor it can call.
A thin REST wrapper is not a tool surface: inputs, outputs and errors have to be shaped for a model to use them.
Without discovery files, an agent client never learns your server exists — it cannot call what it cannot find.
And if a call should cost money, someone has to build the payment step too.
The whole surface an agent reads
From tool design to discovery — designed, built and handed over running.
Custom MCP server design + build
We decide what an agent should be able to do with your product, then build the server to the Model Context Protocol spec.
Tool schema design
Inputs and outputs shaped so an agent gets an answer it can actually use — not a thin wrapper around your REST API.
Discovery and agent-card setup
The files an agent client reads before it decides anything — agent card, well-known endpoints — so your server can be found, not just called.
x402 payment readiness
If your tools should charge per call, we build for x402 — the same pay-per-request stack our own server settles on.
Tested with a real MCP client
Every build is verified against a real MCP client before handover, not only unit-tested.
Docs and handover
You get the server, the documentation and the discovery endpoints — running, inspectable, yours.
From scope call to a running server
A short engagement with a running handover.
What an agent does with your product
The pipeline a well-built server makes possible.
The reference is live
We run the same stack we sell. Our own MCP server is the reference implementation — inspect it before you buy anything.
Our own live MCP endpoint — the same stack we run in production. Point an MCP client at it and list the tools.
The machine-readable spec for every path this site exposes.
The discovery file an agent reads before it decides to call anything.
Integration notes for agents and developers building against the site.
From $3,000, scoped per project
A lower bound and an honest one: the figure depends on what the server has to do.
- Tool surface design + build
- Schemas, auth and error handling
- Discovery files an agent reads
- x402 payment integration readiness
- Tested with a real MCP client
- Docs + handover, running
What moves the scope: the number of tools the server exposes, read-only vs write-back, the auth model, who hosts it, and whether it should charge per call via x402. Every project is quoted before we start.
MCP builds, answered plainly
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.
Who needs one?
Any product whose users arrive through AI agents — SaaS APIs, data services, commerce backends. If an agent should be able to use it, an MCP server is how it gets exposed.
Can I see one you built?
Yes. Our own site runs a live MCP server at /mcp — inspect it, and read its discovery file at /.well-known/agent-card.json. It is the same stack we run in production, not a mock-up.
How long does a build take?
It depends on scope — the number of tools, whether the server writes back into your systems, and the auth model. We agree a timeline on the scope call and commit to it in the quote.
What do we get at the end?
The server, its source, the documentation and the discovery endpoints — deployed, tested with a real MCP client, and handed over running. You own it.
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.
Book a scope call
Ship a surface agents can call
Tell us what your product does — we come back with a scope and a quote. Meanwhile, inspect the stack we run ourselves: the live MCP server is at /mcp.