# icinga-mcp

> icinga-mcp — icinga-icinga-mcp. Use this tool when you need to integrate Icinga with OpenAI capabilities, enabling automated monitoring and incident response. It solves problems related to streamlined incident management and automated workflows, accepting inputs from Icinga and generating outputs for OpenAI-powered actions. Ideal for use cases requiring proactive monitoring and AI-driven decision-making in IT operations and infrastructure management.

Canonical page: https://skillsregistry.net/skills/icinga-icinga-mcp  
JSON: https://api.skillsregistry.net/v1/skills/icinga-icinga-mcp

## Description

MCP / OpenAI Endpoint for Icinga

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Icinga/icinga-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "icinga-icinga-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/icinga-icinga-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/icinga-icinga-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt