GPU infrastructure has traditionally been operated through CLIs, dashboards, and a patchwork of admin tools. Each task — checking cluster state, allocating resources, launching sessions — forces the operator to switch context and stitch results together manually.
MCP changes the surface of this work. By exposing infrastructure operations as MCP tools, an agent can carry out cluster tasks on the operator's behalf. And with MCP Apps (SEP-1865), the agent doesn't just respond in text — it renders interactive UIs inline, so the operator can see the cluster, review the agent's plan, and approve actions visually within the same conversation.
This talk shows how an agent embedded in an MCP host can manage GPU infrastructure efficiently by combining:
- **Visual control via MCP Apps** — the agent renders cluster status views, resource allocation charts, and confirmation cards inline. The operator sees the infrastructure, reviews the plan, and clicks to approve. - **Session-level control via MCP** — the agent creates, inspects, and modifies compute sessions through MCP tool calls. - **Human-in-the-loop by design** — visual checkpoints make every consequential action explicit
