Give each agent step only the Intelligence it needs.
Connect product and company context to existing workflows so autonomous systems can operate with less repeated discovery.
The same endpoint answers narrow questions, not only broad ones. A step can ask for the shape of the product, open one area, look up what the product calls something, ask what one thing touches, or check whether an action is allowed from the state a record is in. Each is a separate tool, so a step pulls what it needs and nothing more.
Issue a key on the MCP access screen and point your workflows at the same endpoint.
Have the first step ask for the shape of the product — the cheapest answer, and it says which area to open next.
Give every later step the narrow tool that matches it: look up a name, open one area, ask what one thing touches, or ask what a change would reach.
Before a step acts on a record, ask whether the product allows that from the state the record is in, and what has to happen next.
Set a rough token ceiling and how far to follow relations on the request, so a step cannot pull more than it should.
There is no screen for wiring a workflow: all of this is reached through MCP with a key, and the cabinet only issues, shows, rotates and reports on that key. Keys belong to a person, not to an agent, so every agent one person runs shares one key and one line of audit — the access screen shows the last connection and which tool it used, not a separate identity per step. There are no webhooks or callbacks out of GitMir into your workflow; each step asks.
See it on a real product.
Three models are published in full and open without an account. Ask one of them the question this page is about.