Mcp Server Agent Analytics

You'd reach for this when you're running multiple AI agents and need visibility into how they're performing as a fleet. It tracks performance metrics, cost data, and flags anomalies across your agents so you can spot trends before they become problems. The source doesn't detail specific APIs or storage backends, but the focus is clearly on operational monitoring rather than individual agent debugging. Think of it as your dashboard for agent operations at scale, helping you answer questions like which agents are burning through tokens, where performance is degrading, or when behavior patterns shift unexpectedly.