Magertron governs what AI agents can reach — which tools, which data, under whose authority, with evidence that holds up afterwards. It is Kubernetes-native, installs from a public Helm chart, and runs inside a customer's own cluster.
We are working with our first partners now. If you deliver AI infrastructure, build in the identity and governance space, or take products to market for enterprise buyers, there is a conversation worth having.
You are in the room when an enterprise asks how it will govern the agents it is about to deploy. The work around the answer is yours.
Magertron sits at the call path and holds the record of what every agent did and under whose authority — useful to read from, or write to.
Every MCP server starts as a file on a laptop. Magertron reads those files through the MDM an enterprise already runs — Jamf Pro, Microsoft Intune, Kandji — and matches what it finds to the governed registry.
Ships today as a script plus scheduler for Linux and macOS, with Ansible delivery; Jamf Pro and Intune packaging in progress. Any MDM that can run a signed script and report its output works the same way.
For partners taking enterprise infrastructure to market through existing commercial relationships. Terms agreed directly.
That you run it before you represent it. Every partner starts with a live instance and a deployment of their own — an afternoon, and the difference between a partnership and a logo on a page.
Tell us who you are and what you are building. Someone will reach out to you shortly.