Best MCP servers for monitoring & incidents
When something breaks in production, the work is investigation: read the error and its stack trace, query the metrics and logs around the spike, check dashboards and alerts, and see whether a recent release or a user-facing regression lines up with the incident. A monitoring MCP setup lets an agent do that investigation across your observability stack instead of an on-call engineer flipping between consoles at 3am. The servers below cover error tracking, full APM and log search, dashboards and alerting, and product-side regressions. Install the ones that match your stack; the workflow is the same loop of detect, query, correlate. Each ships a verified, current install config.
Sentry
Sentry
Sentry's official MCP server: pull issues, stack traces, and events, and run Seer root-cause analysis from your editor.
Sentry's official server pulls issues, stack traces, and events and can run Seer root-cause analysis, the fastest path from an error alert to what actually broke.
Datadog
Datadog
Datadog's official remote MCP server lets agents search logs, query metrics, pull APM traces, inspect monitors, and investigate incidents.
Datadog's official remote server lets the agent search logs, query metrics, pull APM traces, inspect monitors, and investigate incidents like an on-call engineer.
Grafana
Grafana Labs
Grafana Labs' official MCP server: query dashboards, Prometheus, Loki, incidents, alerts, and OnCall from your agent.
Grafana Labs' official server queries dashboards, Prometheus, Loki, incidents, alerts, and OnCall, covering the open observability stack in one place.
PostHog
PostHog
PostHog's official MCP server: query product analytics, manage feature flags and experiments, run HogQL, and triage errors from your editor.
PostHog's official server triages errors and queries product analytics, so the agent can correlate an incident with a user-facing regression or a feature-flag change.