About
The PagerDuty MCP Server provides a programmatic interface to the PagerDuty API, designed for integration with Large Language Models (LLMs). It enables LLMs to interact with PagerDuty resources such as incidents, services, teams, and users through structured inputs and outputs. The server handles rate limiting and pagination, offers error handling, and supports filtering results based on the current user's context, making it easier to automate PagerDuty operations within LLM-powered workflows.
Key Features
- Programmatic access to PagerDuty API
- Handles PagerDuty rate limits and pagination automatically
- Designed for integration with LLMs
- Provides a consistent JSON response format with error handling
- Supports operations on incidents, services, teams, and users
Use Cases
- Integrating PagerDuty data into LLM-powered workflows
- Using LLMs to query and manage PagerDuty resources
- Automating incident management tasks via LLMs