# OnCall Runbook MCP Server

> Use this tool when you need to query on-call runbooks efficiently and troubleshoot issues with structured steps, especially in situations where large language model services may be unavailable. It solves problems related to incident management and downtime mitigation by providing intent recognition and risk assessment capabilities. The OnCall Runbook MCP Server takes in queries and outputs optimized troubleshooting guides, making it ideal for use in high-pressure support environments.

Canonical page: https://skillsregistry.net/skills/mars23003-oncallrunbookmcpserver  
JSON: https://api.skillsregistry.net/v1/skills/mars23003-oncallrunbookmcpserver

## Description

A streamlined MCP server designed for querying on-call runbooks through an optimized QA tool with intent recognition and risk assessment. It provides structured troubleshooting steps and supports graceful degradation to offline mode when LLM services are unavailable.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mh4gauok6l)
- **Repository:** <https://github.com/Mars23003/OnCallRunbookMCPServer>

## 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": "mars23003-oncallrunbookmcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mars23003-oncallrunbookmcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mars23003-oncallrunbookmcpserver/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