Investigate a Sentry Spike

The grind

Tracing a spike takes too long

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

• Sentry tells you what broke and GitHub tells you what changed, but connecting the two under pressure takes ten minutes of tab switching while the errors keep piling up.
• You jump between Sentry stack traces and GitHub commit history.
• You miss the recent deploy in the noise of the timeline.
• The team does not see the heads up until someone else reports it.

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

Fetch the Sentry issue, including the stack trace, frequency, and users affected.

02

List the recent deploys in the affected service.

03

Correlate the start of the spike with the deploy timestamps.

04

Identify the file and line from the stack that changed in that deploy.

05

Post a heads up in the team channel with the rollback command.

The payoff

Root cause traced in 30 seconds

The on call engineer sees the deploy, the file, and the rollback option right away. Rollbacks happen in minutes instead of after a Slack thread full of guesses.

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: Investigate a Sentry Spike

MCP servers needed (connected through MewCP): Sentry, GitHub, Slack

Steps:
1. Fetch the Sentry issue, including the stack trace, frequency, and users affected.
2. List the recent deploys in the affected service.
3. Correlate the start of the spike with the deploy timestamps.
4. Identify the file and line from the stack that changed in that deploy.
5. Post a heads up in the team channel with the rollback command.

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