Model Context Protocol (MCP) servers let AI assistants talk to external systems in a standardized way. The Rootly MCP gives your AI agent direct access to your incident management workflow — here are five ways teams are using it today.

1. Auto-draft incident summaries

When an incident fires, your on-call engineer shouldn't be writing prose under pressure. The Rootly MCP can pull all context from an active incident and ask an LLM to draft a clear summary for stakeholders — in seconds, not minutes.

The summary includes: what's down, who's working on it, current status, and estimated resolution time. Engineers review and send instead of writing from scratch.

2. Surface similar past incidents

During triage, the most valuable thing you can do is find the engineer who's seen this before. The MCP queries your incident history for similar symptoms, services, and timeframes — and surfaces the top matches with links to their post-mortems.

This is especially powerful for junior engineers on-call for the first time.

3. Suggest runbooks automatically

Once the MCP identifies a likely root cause pattern, it can recommend the runbooks most associated with successful resolutions of that pattern. No more searching a wiki under pressure.

Runbook suggestions appear directly in your incident channel, ranked by historical effectiveness.

4. Generate post-mortems from incident timelines

After an incident is resolved, the MCP assembles the full timeline — alerts, messages, actions taken, resolution — and drafts a complete post-mortem. Engineers spend 10 minutes reviewing instead of 2 hours writing.

The draft follows your team's template and includes a root cause section, contributing factors, and action items.

5. Answer questions about incident history

With the MCP connected, you can ask natural language questions about your incident data:

• "How many P1 incidents have we had this quarter?"
• "What's our average MTTR for database incidents?"
• "Which team has the most incidents touching the auth service?"

The AI queries your incident history and returns a clear answer — no dashboards, no SQL.

Getting started

The Rootly MCP is available as an open-source server. You can connect it to any MCP-compatible AI client, including Claude and Cursor. Configuration takes about 15 minutes if you already use Rootly.

Once connected, start with use case #1. The summary draft alone saves most teams 20–30 minutes per incident.