Connect your stack to your AI.
MCP is the protocol that lets an AI agent read and act inside the tools you already pay for. We build the server, deploy it on your infrastructure, and put every write behind your approval.
What our clients say
An agent without access is a chatbot
Most AI pilots fail for a boring reason: the model can talk about your business but cannot see it or touch it. MCP is what closes that gap — a standard way to give an agent scoped, auditable access to a real system.
It reads what is actually there
Your campaigns, your catalog, your CRM — live, not a copy pasted into a prompt last quarter.
It acts, within limits you set
Every tool is scoped. Writes are off until you turn them on, and the ones that move money ask first.
It works with any client
Claude, ChatGPT, Cursor or an agent you built. That is the point of a protocol instead of an integration.
The MCPs we deploy
These are live pages for the connectors we deliver today. Anything else in your stack goes through the same process — we just do not list what we have not built.
Not on the list?
The list is what we have written up, not the limit of what we connect. If a system has an API, it can have an MCP — bring the one that is blocking you and we will tell you in the diagnosis whether it is two weeks or something bigger.
Two weeks, three steps, no surprises
Access and scopes. We connect read-only and show you real answers from your own data before building anything.
The tool set, built around how your account is actually structured — not a generic wrapper around the API.
Writes behind the approval gate, playbooks handed over, working session with the people who will use it.
Questions we get before the first call
What is MCP, in one sentence?
An open protocol that lets an AI client call tools on a server you control — so the agent can read and act on a real system instead of guessing from what you paste into the chat.
Do you host it?
Only if you want us to. The default is your infrastructure: your cloud, your VPS, or Cloudflare Workers in your account. The source lives in your repository either way.
Is this safe to point at production?
It is built to be. Reads come first, writes are scoped and off by default, everything is logged with who approved it, and anything that changes money or customer records asks before acting.
We already use Epinium. Do we need this?
For the marketplaces Epinium already connects, no — use Epinium MCP, it is part of the platform. This is for the rest of your stack.
Which tool is your AI locked out of?
A free diagnosis: tell us the system, we tell you what an agent could do with it, what it would take, and whether it is worth doing at all.
