Respond to a PagerDuty Alert

For the on call engineer at 3am who just got paged for a database CPU spike. One prompt pulls the right Datadog dashboard, correlates it with traffic, starts the war room, and posts the hypothesis, so you land with context.

PAPagerDutyDADatadog

Slack

The grind

The first ten minutes go to gathering context

Here's what doing this by hand looks like today, and why it doesn't scale.

Every page starts with the same routine, opening Datadog, opening the traffic metrics, starting a thread, and posting the first hypothesis. Ten minutes before you can actually fix anything.
You open four tabs while half awake.
You miss a traffic pattern that explains the alert.
You start the war room thread after the CEO already asked.

MewCP collapses all of this into one prompt. Here's what that looks like.

The flow

5 steps · 3 servers

Your agent runs it end-to-end

Acknowledge the PagerDuty alert.

Pull the relevant Datadog dashboard for the affected service.

Correlate the metric spike with recent traffic or deploys.

Start a war room thread in your incidents channel.

Post the initial hypothesis and a suggested runbook step.

The payoff

Triage in 30 seconds, not ten minutes

You land in the war room with context already on the thread. Stakeholders see a hypothesis instead of silence, and the fix starts while the alert is still fresh.

Paste this into Claude, Codex, or any MCP-connected agent. It'll connect your apps and run the task from start to finish.

Run it yourself

Copy the prompt

prompt

Goal: Respond to a PagerDuty Alert

MCP servers needed (connected through MewCP): PagerDuty, Datadog, Slack

Steps:
1. Acknowledge the PagerDuty alert.
2. Pull the relevant Datadog dashboard for the affected service.
3. Correlate the metric spike with recent traffic or deploys.
4. Start a war room thread in your incidents channel.
5. Post the initial hypothesis and a suggested runbook step.

Check with me before sending any message or changing data in a connected app.

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