Use cases / Build a Slack incident response bot

Build a Slack incident response bot

Create an agent that monitors your #incidents channel, categorizes issues by severity, assigns them to the right team, and posts status updates — all powered by MCP integrations.

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Author
Torki AI
Category
Developers
Feature
Agents
Model
Cosmos
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1

Define your severity matrix

Tell Torki how to categorize incidents. What keywords indicate P1 vs P2? What patterns suggest database issues vs frontend bugs? Upload your existing runbooks or incident response documentation.

Create an incident response agent with these severity levels: - P1 (Critical): "down", "outage", "data loss", "security breach" - P2 (High): "degraded", "slow", "errors spiking", "500s" - P3 (Medium): "intermittent", "affecting some users" Route database issues to #team-infra, frontend to #team-web.

2

Connect Slack via MCP

Use the Slack MCP connector to give your agent the ability to read channels, post messages, and mention team members. The agent monitors #incidents in real-time.

3

Set routing rules

Configure who gets notified for each severity level and incident type. Connect PagerDuty for P1 escalations, create Jira tickets automatically, or post to specific team channels.

4

Deploy and monitor

Once live, the agent categorizes incidents instantly, routes them to the right team, and posts status updates as the situation evolves. Review its decisions in the agent dashboard and refine rules over time.

#incidents — Slack
🔴 P1 — CRITICAL
API gateway down. Routing to @oncall-infra

Ready to try for yourself?

Define your severity matrix and routing rules. Deploy to Slack in minutes.

Try in Torki