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Let your AI agent manage PagerDuty alerts, incidents, and on-call workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PagerDuty MCP" yet — see the docs or source repo.
Use the PagerDuty MCP to list all current high-priority alerts and active incidents for our main production service, organized by service, severity, and assignee.
A structured list of current high-priority alerts and incidents for quick production status review.
Use the PagerDuty MCP to create an urgent incident for 'repeated payment API timeouts', assign it to the on-call engineer, and include a brief impact summary and investigation suggestions.
A new incident is created and assigned with clear context so the team can respond immediately.
Use the PagerDuty MCP to review the backend team's on-call schedule for this week, identify today's and the weekend's responders, and flag any conflicts or gaps.
A summary of the weekly on-call schedule with potential staffing issues highlighted for early adjustment.
Read Xero data and a local SQLite ledger for aging and reconciliation.
Access Autotask entities by CLI and analyze ticket aging locally.
Access email threats, investigate cases, and generate reports in terminal or AI agents.
Sync Veeam console tenants to local SQLite for offline backup insights.
Access SuperOps PSA+RMM data in terminal and query it via local SQLite.
Access Sherweb Partner APIs with local SQLite for offline analytics and automation.
Manage PagerDuty incidents, on-call schedules, and services from an AI workflow.
Manage PagerDuty incidents, alerts, and on-call schedules through AI.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Run dependent or parallel agent tasks and return structured results in one call.
Give AI agents MCP tools for task management and document retrieval.
Enable AI agents to communicate, route messages, and collaborate through MCP.