"AI orchestration" can mean many things. Magertron™ AI Orchestrator means one: every call your agents make, to an MCP tool, a model or an API, goes through a single place where it is identified, authorized, priced, limited and recorded.
| Magertron AI Orchestrator | |
|---|---|
| Agent framework | No. Use any framework or harness; agents call through it |
| Model router | No. You choose the models; it governs them |
| MCP control plane | Yes. Inventory, identity, per-tool permissions, policy, audit |
| AI spend control | Yes. Metering, chargeback and caps per person and department |
| Human approval | Yes. Risky calls held for a named approver, released once |
| Where it runs | Your Kubernetes cluster: any cloud, on-premises, air-gapped |
Frameworks, models and agent tools will keep changing. The rules for what an agent may do, for whom, and at what cost belong in one layer that outlives them. That is why Magertron governs the calls rather than the agents. See the MCP control plane and AI spend control in detail, or build an agent on it.
A Kubernetes-native governance platform for AI agents. Every MCP tool call, model call and API call your agents make passes through it, where it is identified, authorized, priced, limited and audited.
No. It does not build or run your agents' reasoning loop. It sits underneath whatever framework or harness you use, as the layer the agents call through.
No. It does not choose models on your behalf. It governs the models and tools you decide to use.
In your own Kubernetes cluster, on any cloud, on-premises or air-gapped, with a free tier up to 20 servers.
Platform, security and finance teams that need to let agents work in production while keeping control of what they can reach, what they spend, and who approved it.
Free up to 20 servers, no signup. Or schedule a walkthrough.