What prerequisites are needed to run MCP PagerDuty?
Python 3.13 or higher and a PagerDuty API token are required.
@judexzhu
基本信息
A Model Context Protocol (MCP) server that provides integration with PagerDuty for incident management and monitoring operations.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-pagerduty": {
"command": "uv",
"args": [
"sync"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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Model Context Protocol Servers
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