What prerequisites are needed to run MCP PagerDuty?
Python 3.13 or higher and a PagerDuty API token are required.
@judexzhu
Basic information
A Model Context Protocol (MCP) server that provides integration with PagerDuty for incident management and monitoring operations.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-pagerduty": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
Python 3.13 or higher and a PagerDuty API token are required.
Create a `.env` file with `PAGERDUTY_API_TOKEN` (required) and optionally `PAGERDUTY_API_URL`, which defaults to `https://api.pagerduty.com`.
The project is in its initial development phase; many features are planned but not yet implemented, and no functionality is currently implemented.
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.
Planned resources include incident templates, escalation policy information, and service status dashboards.
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