MCP as Observability Interface: Connecting AI Agents to Kernel Tracepoints
Summary
This article argues that MCP should be the observability layer for AI agents rather than a wrapper around existing platforms. It compares wrapping existing observability stacks with building native MCP observability (via eBPF tracing of CUDA) and provides a practical CUDA tracing example with AI agents like Claude, highlighting security concerns raised by Qualys. It envisions MCP-native observability expanding to network, security, and cost domains.