Most AI tools start out knowing nothing about your company. They can write and reason well, but they have never seen your policies, your templates, your product, or the way your team actually does the work. Everything useful you want them to know has to be connected to them.
There is now a standard way to make that connection. It is called the Model Context Protocol, usually shortened to MCP. Think of it as a common plug: instead of every AI tool needing its own custom wiring into every system, they all accept the same connection. Claude and ChatGPT both support it, and so do a growing number of others.
One connection, or forty
Once a standard plug exists, the question becomes who does the plugging. Left alone, each person sorts it out themselves. One manager writes a good set of instructions for handling customer complaints and saves it to their own AI. It works. Nobody else has it.
Multiply that across a company and you get the usual picture: the best material sits on individual laptops, nobody knows what anyone else has built, and every new hire starts from nothing. The company keeps paying for AI that knows nothing about the company.
What changes when one team manages the connections
Managing connections centrally means the company decides once what its AI should know, and that decision reaches everyone who should have it. The material is assembled in one place. Each person gets a single connection to their own AI tool. What flows through it is whatever the company has decided to give them.
The employee's side of this is deliberately uneventful. They connect once, in the AI they already use, and then nothing more is asked of them. There is no app to open, no library to browse, no habit to build. Their AI simply starts arriving already knowing things.
Updates arrive on their own
The reason this matters more than a shared folder is what happens when something changes. Publish the new version centrally and every connected person has it immediately. Nobody downloads anything, nobody re-installs, nobody is told to go and fetch the update.
That is the difference between distributing files and managing a connection. Files go stale the moment they are copied. A connection stays current because it is the same one, still open.
When someone leaves
Central management also answers the question every operations lead eventually asks: what happens at the end. If access was arranged by each person individually, ending it means finding it first.
When the connection is managed centrally, it is revoked in one click and access ends immediately. There is nothing to collect back and nothing left behind on personal accounts.
What it costs
Wardyn charges $2 per issued MCP per month. Setup is free — you only pay for what's issued.
Where Wardyn fits
Wardyn is the company AI supply line. It packs your company's AI skills, context, and connections into kits and issues them to each team — installed once, always current, revoked the instant someone leaves. Everything above is what that arrangement does in practice.
It works with Claude, ChatGPT, Claude Code, and any other client that supports the standard connection and a secure company sign-in — the step called OAuth, the same "sign in with your work account" flow you already use elsewhere. Employees keep using the AI they already have.