medium 15 minutes to set up No code required

Automate Incident Response with AI

Cut your mean time to resolution in half

What this agent does

Deploy an AI agent that monitors Sentry for new errors, correlates them with recent GitHub deploys, generates a structured incident summary, and posts to your Slack war room automatically.

What you'll get

  • First responders get context in seconds, not minutes
  • Automatic correlation between errors and recent deployments
  • No more copy-pasting Sentry links into Slack
  • Incident summaries are structured and consistent every time

How to set it up

  1. 1

    Connect Sentry

    Authorize the Sentry MCP integration to monitor your error streams.

  2. 2

    Connect GitHub

    The agent correlates errors with recent commits and PRs to find the root cause.

  3. 3

    Set your Slack war room

    Configure the channel where incident summaries are posted.

  4. 4

    Define severity thresholds

    Set conditions that trigger an incident: error rate spike, new error type, repeated crashes.

Frequently asked questions

Can it page on-call engineers automatically?
Yes. The agent can be configured to trigger PagerDuty or send direct Slack DMs to on-call engineers.
Does it close incidents when errors resolve?
Yes. You can configure auto-resolution when error rates drop below threshold.
What monitoring tools does it support?
Sentry is natively supported. Datadog, New Relic, and others can be connected via webhook triggers.
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Incident Commander
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Setup details

Difficulty
medium
Setup time
15 minutes
Code required
None
Best for
engineering