MCP PagerDuty
@judexzhu
A Model Context Protocol (MCP) server that provides integration with PagerDuty for incident management and monitoring operations.
概览
What is MCP PagerDuty?
MCP PagerDuty is a Model Context Protocol (MCP) server that provides integration with PagerDuty for incident management and monitoring operations. It is a community-driven, early-stage project that allows AI assistants and other MCP clients to interact with PagerDuty data.
How to use MCP PagerDuty?
Clone the repository, install dependencies using uv sync, copy .env.example to .env, and edit the file with your PagerDuty API credentials. Then run the server with python pagerduty.py. The server exposes MCP tools for incident operations.
Key features of MCP PagerDuty
- Early development; functionality not yet fully implemented
- Provides incident list, detail, and notes retrieval tools
- Uses environment variables for PagerDuty API authentication
- Requires Python 3.13+ and the UV package manager
- Compatible with the Model Context Protocol specification
- Community-driven; not affiliated with PagerDuty, Inc.
Use cases of MCP PagerDuty
- List PagerDuty incidents with filtering options
- Retrieve detailed information about a specific incident
- Get notes attached to a PagerDuty incident
- Integrate PagerDuty incident data into AI assistant workflows
- Prototype MCP-based monitoring and alerting tools
FAQ from MCP PagerDuty
What prerequisites are needed to run MCP PagerDuty?
Python 3.13 or higher and a PagerDuty API token are required.
How do I configure the server?
Create a .env file with PAGERDUTY_API_TOKEN (required) and optionally PAGERDUTY_API_URL, which defaults to https://api.pagerduty.com.
What is the current project status?
The project is in its initial development phase; many features are planned but not yet implemented, and no functionality is currently implemented.
What tools does MCP PagerDuty currently provide?
Three tools: pagerduty_list_incidents to list incidents with filtering, pagerduty_get_incident to get detailed incident information, and pagerduty_get_incident_notes to get incident notes.
Are there any planned resources for future development?
Planned resources include incident templates, escalation policy information, and service status dashboards.
