# PagerDuty Incident Trigger MCP

> PagerDuty Incident Trigger MCP lets your AI agent immediately declare and escalate system failures to on-call engineers. This single-purpose connector uses PagerDuty's Events API V2, giving agents the safe authority to signal critical issues without granting access to sensitive incident history or scheduling tools.

## Overview
- **Category:** industry-titans
- **Price:** Free
- **Tags:** incident-response, on-call, alerting, automation, events-api, site-reliability

## Description

Need to give your AI agent a way to actually wake up an engineer? That’s what this MCP does. It provides a surgical connection that lets any compatible client invoke immediate alerts in PagerDuty. The tool is designed with zero-trust principles: it only sends out the alarm, nothing else. You can use your agent to evaluate system anomalies and instantly declare an issue—providing a summary, source, and severity level—to get attention on the phone.

This approach means you don't have to build a massive integration that tries to manage schedules or read through old tickets. It’s pure escalation power. By using this MCP via Vinkius, your agent gains the immediate ability to push an event directly into PagerDuty. This is how you give AI agents critical incident response capabilities without giving them access to sensitive operational data. You simply tell it what went wrong, and PagerDuty handles the rest.

## Tools

### trigger_pagerduty_incident
Sends an immediate incident event to PagerDuty using the Events API V2, requiring only a clear summary and source of the issue. The severity defaults to critical.

## Prompt Examples

**Prompt:** 
```
Trigger a critical PagerDuty incident for the payment-gateway saying transactions are failing.
```

**Response:** 
```
I've successfully triggered the critical incident in PagerDuty.
```

## Capabilities

### Declare System Failures
Your agent can instantly signal an issue in PagerDuty by providing a clear summary, source, and severity level to alert the on-call team.

## Use Cases

### Monitoring Tool Failure
A monitoring system detects a 90% failure rate on the payment gateway. Instead of an engineer manually logging into PagerDuty, they prompt their agent: 'The payments are failing.' The agent uses `trigger_pagerduty_incident` to send a critical alert immediately, bypassing manual dashboard checks.

### Post-Deployment Validation
A new microservice deployment finishes its smoke tests and reports all services are nominal. The automation pipeline needs confirmation that the on-call team is aware of the successful deployment state. It uses `trigger_pagerduty_incident` with a low severity ('info') to signal completion.

### Log Analysis Escalation
An agent processes thousands of lines of log data and finds repeated database connection failures in the logs' source. It automatically calls `trigger_pagerduty_incident`, summarizing the failure pattern and marking it as an 'error' to initiate investigation.

### Scheduled Maintenance Alert
A scheduled maintenance script runs successfully but requires human acknowledgment of a known, non-critical state change. The agent sends a warning alert using `trigger_pagerduty_incident` so the team knows to check the system soon.

## Benefits

- Immediate Escalation: Your agent declares a 'Critical' state with one command. PagerDuty takes care of the rest, ensuring the right person gets paged instantly when an anomaly is detected.
- Zero Scope Creep: This MCP only triggers alerts. It never reads your incident history or modifies on-call schedules, giving you maximum safety and minimal risk exposure.
- Simplified Setup: You avoid complex OAuth flows or massive SDKs. Just supplying a single Integration Key allows the agent to push events directly without hassle.
- Contextual Alerting: The tool requires specific inputs—a summary, source, and severity. This forces your agent to provide structured context with every alert it sends out.
- Direct Automation: You can connect this MCP to any client (Claude, Cursor, etc.) to build automated pipelines that move from log parsing straight into incident declaration.

## How It Works

The bottom line is that your agent can use context from a log file or dashboard to turn an observed error into a pagable incident alert in minutes.

1. Instruct your AI agent to identify a system anomaly that needs immediate attention.
2. Your agent uses this MCP's tool to format the required details: a summary, the source of the issue, and whether it's critical, error, or warning level.
3. The MCP executes the call, sending the event directly into PagerDuty's system, triggering the automated on-call escalation process.

## Frequently Asked Questions

**How does the PagerDuty Incident Trigger MCP work with my existing monitoring systems?**
Your monitoring system generates data, and your agent reads that data. The agent's job is to call `trigger_pagerduty_incident` when a threshold is crossed, ensuring the alert gets into PagerDuty correctly.

**Can I use the PagerDuty Incident Trigger MCP to view old incident history?**
No. This MCP is designed for absolute containment and only supports triggering new incidents. It cannot read or query any previous alert data, keeping your system secure.

**What severity levels can I use with trigger_pagerduty_incident?**
You can specify 'critical', 'error', 'warning', or 'info'. If you don't specify a level, the tool defaults to critical, which is usually safest for automated alerting.

**Does PagerDuty Incident Trigger MCP require me to use Python?**
No. You connect this MCP via any compatible client (Cursor, Claude, etc.). The agent's code just needs to call the tool; it doesn't dictate your underlying programming language.

**Is PagerDuty Incident Trigger MCP secure?**
Yes. Its one-way nature means the AI client can only send data out (trigger alerts) and has zero permissions to read or modify existing records in PagerDuty.