PagerDuty MCP Server

PagerDuty MCP Server Overview

PagerDuty’s official Model Context Protocol (MCP) server bridges the gap between AI assistants and incident‑management workflows. By exposing a rich set of tools that interact directly with a PagerDuty account, the server allows developers to create, update, and query incidents, services, schedules, and event orchestrations without leaving their preferred AI‑enabled IDE or chat client. This integration is especially valuable for teams that rely on PagerDuty to coordinate response efforts, as it turns routine operational tasks into conversational actions that can be scripted, automated, or executed on demand.

The server’s core value lies in its ability to translate natural‑language commands into authenticated API calls. With a single User API Token, the MCP server can perform both read and write operations—such as generating incident tickets, modifying schedule overrides, or triggering event orchestrations—directly from the chat context. The flag unlocks these mutating capabilities, giving developers the flexibility to not only fetch data but also enact changes through the same interface. This unified approach reduces context switching and ensures that all actions remain auditable within PagerDuty’s native system.

Key features include:

• Incident Management: Create, close, and update incidents; retrieve incident lists filtered by status or time range.
• Service & Schedule Operations: Query services, add or remove service owners, and manage on‑call schedules with support for overrides.
• Event Orchestration: Trigger complex event flows, such as escalation policies or auto‑resolution scripts, with minimal boilerplate.
• Secure Integration: Credentials are supplied via environment variables or secure prompts, keeping sensitive tokens out of source control.
• Cross‑platform Compatibility: The MCP server can be launched from popular tools like Cursor or VS Code, making it accessible to developers across IDEs.

Typical use cases include:

• Rapid incident triage: A developer can ask the AI, “What incidents are currently open for Service X?” and receive an instant list.
• Automated schedule adjustments: When a team member is out of office, the AI can apply a schedule override for the duration.
• On‑the‑fly escalation: During a critical outage, an AI assistant can trigger an event orchestration that escalates the incident to higher tiers.
• Compliance auditing: By querying historical incidents and schedules, teams can generate audit reports directly from the chat interface.

Integration into AI workflows is seamless. Once configured, the MCP server appears as a set of tools in the client’s tool palette. Developers can invoke these tools via natural language prompts, embed them into larger scripts or agent workflows, and chain outputs to subsequent actions. The server’s design ensures that every operation is reflected in PagerDuty’s audit logs, maintaining transparency while accelerating response times. Overall, the PagerDuty MCP server turns incident management into a conversational experience, empowering teams to respond faster and more accurately through AI‑augmented tooling.