OpsGenie handles alert routing, on-call schedules, escalation policies, and incident coordination. During incidents, engineers juggle between the OpsGenie app, Slack, and their IDE to check who's on call, acknowledge alerts, and track incident timelines. That context-switching slows response.
An MCP server for OpsGenie lets your AI agent query alerts, schedules, and incident status directly. Check active alerts, find who's on call, review escalation policies, and get incident summaries without leaving your editor.
Once your AI agent has OpsGenie access:
https://app.opsgenie.com)Works with OpsGenie Standard and Enterprise. The AI agent gets whatever access your API integration provides.
On-call engineers: Incident awareness mid-coding. "Any P1s firing?" without switching to the OpsGenie app.
Engineering managers: Team coordination. "Who's on call for backend this weekend?" for planning conversations.
SREs: Incident review. "Show me all alerts from the last deployment window" for post-mortems.
Platform engineers: Escalation verification. "What's the escalation policy for the data team?" when setting up new services.
| OpsGenie UI | AI Agent |
|---|---|
| Alerts → filter by priority → review | "Any P1 alerts firing now?" |
| Who is on call → select team → view | "Who's on call for payments?" |
| Incidents → timeline → scroll | "Timeline of last incident?" |
| Schedules → select → view rotation | "When's my next on-call shift?" |
Create a read-only API integration in OpsGenie:
Then point DataFaucet at your OpsGenie instance, authenticate, and your AI agent can query alerts and schedules as MCP tools.
Create your OpsGenie MCP server in 60 seconds.
Try with OpsGenie →Point DataFaucet at OpsGenie and get a working server in 60 seconds.
Create OpsGenie server free →After creating, add to Claude Desktop:
"opsgenie": {
"url": "https://datafaucet.dev/api/mcp/YOUR_ID/sse"
}Connect PagerDuty to AI agents via MCP. Check active incidents, review on-call schedules, and query alert history from your editor.
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