MCP server for AI agents: manage incidents and notes in

This workflow provides AI agents with unified API access to key PagerDuty operations via an MCP server built on n8n. It automatically extracts parameters from agent requests using $fromAI() and executes actions without manual input. Ideal for teams integrating AI into incident response workflows.

## Who it´s for
- SRE engineers using AI agents to manage PagerDuty incidents
- DevOps teams automating PagerDuty interactions via internal LLM assistants
- Platform teams providing secure MCP access to monitoring operations
- Technical leaders deploying AI tools to accelerate incident response

## What the automation does
- Receives requests from AI agents via HTTP webhook
- Creates incidents in PagerDuty with title, email, and service ID
- Retrieves current incident status by ID
- Fetches list of latest incidents with limit (e.g., last 10)
- Adds internal notes to incidents after resolution
- Looks up user data by ID for audit or verification

## What´s included
- Ready-to-use workflow for n8n
- Logic to handle ai_tool_call via HTTP API
- Integrations with PagerDuty and AI Agent (via LangChain MCP)
- Basic text instructions for launch and adaptation

## Requirements for setup
- n8n account with workflow execution access
- PagerDuty API key with required permissions
- Configured AI agent capable of making MCP-style tool calls
- Server access to receive HTTP requests

## Benefits and outcomes
- Accelerates incident response through AI-driven creation
- Centralizes PagerDuty access via secure MCP interface
- Eliminates manual entry errors for incident parameters
- Enables auditability via PagerDuty logging
- Scales AI usage across operational workflows
- Reduces engineer workload by automating routine tasks

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.