The Monitoring Stack is 5 MCPs (Sentry, Grafana, Postgres, Slack, GitHub) that collapse incident investigation into one Claude prompt. Correlating error spikes, latency, deploys, and DB state — which usually takes 5 tabs and 10 minutes — becomes 90 seconds. Essential for any on-call engineer.
Errors, metrics, alerting, and on-call — unified in one AI session
$ mcpizy install sentry grafana postgres slack githubOne command installs and configures all 5 MCPs for Claude Code, Cursor, Windsurf, or any MCP-compatible client.
Observability is correlating signals across tools: 'error spike in Sentry' + 'latency spike in Grafana' + 'deploy in GitHub 5 min ago' + 'DB CPU high in Postgres'. Humans do this context-stitching manually during incidents, under pressure. MCPs collapse it: one Claude prompt pulls from all 5 sources and hands you the likely root cause.
This stack is PagerDuty-adjacent (not a replacement) — it's the investigation layer. The first 10 minutes of any incident usually lives here, and MCPs can compress those 10 minutes to 90 seconds.
50% reduction in mean-time-to-mitigation during incidents. For a team handling 10 incidents/month, that's ~15 hours of engineer time reclaimed, plus the compounding effect of less burnout.
No — Datadog (or your existing APM) stays as the collection layer. MCPs are the query/investigation layer. If you use Datadog, add the Datadog MCP (community) in place of or alongside Grafana MCP.
Via GitHub MCP, yes — it can revert a commit or redeploy a previous tag. Most teams gate this behind a human confirmation for production. For non-prod environments, full automation is fine.
For most SaaS teams under ~50 engineers, yes. Large shops add PagerDuty MCP for rotation, Datadog MCP for APM, and possibly Honeycomb MCP for traces. The 5 above are the core.
Grafana Loki MCP covers log search. For CloudWatch Logs, AWS MCP handles it. Logs are the biggest gap in the 5-MCP minimum — if logs matter to you, add Loki or CloudWatch-focused MCP as MCP #6.
$0 at the MCP layer — all open source. You pay for the underlying tools (Sentry free for <5K errors/mo, Grafana Cloud free for 3 users, Slack free). Full monitoring stack often fits under $100/mo for a small team.