Investigate production issues from Slack with runbooks and monitoring MCPs using DIY AI Debugging Agent Toolkit

Handle alerts and debugging questions from Slack, query connected monitoring MCP servers, and follow runbook-guided investigation steps for live incidents.

Prerequisites

Slack app, MCP server connections for monitoring tools, Python runtime, OpenAI key, optional runbooks or prompts for incident workflows

Installation

Use the upstream install or setup path that matches your environment:

• pip install uv
• uv sync
• uv run python app.py

Basic usage or getting-started notes:

• There are multiple types of AI as well as non-AI automations that you can setup using this toolkit. For example:

• Run your local server: Start your application on a port (e.g., port 5000)

• Create the tunnel: Run ngrok http 5000

• Source: https://github.com/DrDroidLab/sample-debug-agent

• Extracted from upstream docs: https://raw.githubusercontent.com/DrDroidLab/sample-debug-agent/HEAD/README.md

Documentation

• https://github.com/DrDroidLab/sample-debug-agent

Source

• Agent Skill Exchange