Handle a PagerDuty On Call Page

The grind

The first ten minutes go to context gathering

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 deploys page, opening Slack, 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 that a deploy three minutes before the spike lines up with it.
• You start the war room thread after the CEO is already asking.

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

01

Acknowledge the PagerDuty alert.

PA

02

Pull the relevant Datadog dashboard for the window.

DA

03

List the recent deploys in the affected service.

04

Correlate the spike with deploys, traffic, or third party outages.

05

Start a war room thread in your incidents channel with the hypothesis.

The payoff

Land with context and act fast

You are into the fix 30 seconds after the page instead of ten minutes. The team sees the hypothesis in Slack before anyone asks what is going on.

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

Goal: Handle a PagerDuty On Call Page

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

Steps:
1. Acknowledge the PagerDuty alert.
2. Pull the relevant Datadog dashboard for the window.
3. List the recent deploys in the affected service.
4. Correlate the spike with deploys, traffic, or third party outages.
5. Start a war room thread in your incidents channel with the hypothesis.

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

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