Most observability tools make you learn a query language before you can answer a simple question like "why is checkout slow." groundcover's MCP server skips that step: it hands your agent direct access to the metrics, logs, and traces groundcover already collects via its eBPF-based instrumentation, so you can ask about error rates, latency, or resource usage for a specific service in plain English. Because the instrumentation is eBPF-based, none of this depends on you having added tracing libraries to the service in question — groundcover is already watching at the kernel level.
Ask "why did the payments service get slower in the last hour" and the agent pulls groundcover's traces and metrics for that service, correlates them with any error-rate change, and reports back what's likely responsible — no dashboard hunting.
Before bumping a service's replica count, ask the agent to pull current CPU and memory usage from groundcover so the decision is based on real numbers instead of a guess.
No — groundcover instruments at the eBPF level, so it already has metrics, logs, and traces for services running in your cloud-native or on-prem environment without code changes.
Anything grounded in what groundcover tracks for a given service — error rates, latency, and resource usage are the core signals it exposes through this connection.
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