PagerDuty Incident Copilot MCP
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6a58afe9dc6341046e4b1a91PagerDuty Incident Copilot MCPPagerDuty Incident Copilot MCP

PagerDuty Incident & On-Call Copilot is an MCP server that brings PagerDuty's incident management and on-call capabilities directly into your AI assistant workflow. Designed for SRE, DevOps, IT Operations, and Incident Response teams, it enables conversational access to PagerDuty without switching between tools or dashboards.

With this server, users can search and investigate incidents using filters like status, urgency, and time ranges, retrieve detailed incident information including assignments, timelines, escalation policies, and responders, and update incidents in real time all through natural language. Teams can also create and manage incident notes to document remediation steps, handoffs, and operational updates collaboratively.

Beyond incident management, the server provides full on-call schedule visibility. Users can identify who is currently on-call, review escalation policies, list available schedules, and even create or modify on-call rotations defining time zones, rotation layers, shift durations, and participating users without leaving their AI workflow.

The server is built with conversational intelligence at its core. It automatically resolves user names into PagerDuty IDs, retrieves schedule information when needed, and reuses returned identifiers to streamline follow-up actions, reducing manual lookups and operational friction.

Whether you're triaging a high-urgency incident at 2 AM, handing off to the next on-call responder, or building out a new rotation schedule, this MCP server keeps your team coordinated, informed, and productive powered entirely by AI-driven, natural language interactions.

SKU-YHXLLYCD7P
USD1In Stock
PagerDuty Incident Copilot MCP
Mcp New

PagerDuty Incident Copilot MCP

Version 1.0.0

Last updated Jul 16, 2026byiSteer Inc

PagerDuty Incident & On-Call Copilot lets AI assistants manage incidents, coordinate on-call schedules, and streamline incident response workflows through natural language purpose-built for SRE, DevOps, and IT Operations teams.

About this MCP

PagerDuty Incident & On-Call Copilot is an MCP server that brings PagerDuty's incident management and on-call capabilities directly into your AI assistant workflow. Designed for SRE, DevOps, IT Operations, and Incident Response teams, it enables conversational access to PagerDuty without switching between tools or dashboards.

With this server, users can search and investigate incidents using filters like status, urgency, and time ranges, retrieve detailed incident information including assignments, timelines, escalation policies, and responders, and update incidents in real time all through natural language. Teams can also create and manage incident notes to document remediation steps, handoffs, and operational updates collaboratively.

Beyond incident management, the server provides full on-call schedule visibility. Users can identify who is currently on-call, review escalation policies, list available schedules, and even create or modify on-call rotations defining time zones, rotation layers, shift durations, and participating users without leaving their AI workflow.

The server is built with conversational intelligence at its core. It automatically resolves user names into PagerDuty IDs, retrieves schedule information when needed, and reuses returned identifiers to streamline follow-up actions, reducing manual lookups and operational friction.

Whether you're triaging a high-urgency incident at 2 AM, handing off to the next on-call responder, or building out a new rotation schedule, this MCP server keeps your team coordinated, informed, and productive powered entirely by AI-driven, natural language interactions.

Key Use Cases

  • Search active or historical incidents using filters such as status, urgency, incident key, and time ranges.

  • Retrieve full incident details including assignments, escalation policies, responders, timelines, and metadata.

  • Update incident status, priority, and urgency, and document remediation actions or handoffs through notes.

  • Identify who is currently on call, which escalation policy they belong to, and their active coverage window.

  • Create, view, and update on-call schedules with defined users, time zones, shift durations, and rotation layers.


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