PagerDuty MCP Server

The PagerDuty MCP Server bridges the gap between large language models (LLMs) and PagerDuty’s incident‑management platform. By exposing a curated set of tools that mirror core PagerDuty API endpoints, the server enables AI assistants to create, query, update, and close incidents; manage services, teams, and users—all through structured, machine‑readable requests. This eliminates the need for developers to write custom wrappers or handle authentication flows manually, allowing them to focus on higher‑level business logic and user experience.

For developers building AI‑powered operations dashboards or chatbot interfaces, the server offers a single point of integration that guarantees consistent input and output schemas. Each tool accepts well‑defined JSON parameters, returning a uniform response envelope that includes metadata, the requested resource list, and detailed error objects when necessary. This predictability simplifies downstream parsing, logging, and exception handling within LLM‑driven workflows.

Key capabilities include:

• Incident lifecycle management – Create, acknowledge, resolve, and re‑open incidents programmatically.
• Resource discovery – List services, teams, users, and incident data with pagination support via the metadata field.
• Error handling – Structured error objects provide clear, machine‑readable codes and human‑friendly messages for common API failure scenarios.
• Environment‑agnostic deployment – The server can run as a standalone executable, a Goose extension (desktop or CLI), or be invoked directly from Claude/Cursor configurations.

Typical use cases span from automated incident triage bots that pull in real‑time PagerDuty data to contextualized chat assistants that can suggest or execute remedial actions. In a DevOps pipeline, an AI agent could monitor incident metrics, trigger escalations, or update service health dashboards without exposing raw API credentials to the front‑end. The server’s standardized response format and error handling also make it an ideal component for building audit trails or compliance reports that track AI‑initiated changes in PagerDuty.

By abstracting the intricacies of PagerDuty’s REST interface, the MCP server empowers AI developers to integrate robust incident‑management capabilities into their applications with minimal friction, ensuring that operational intelligence remains both accessible and reliable.