# mcp-daemonize

> mcp-daemonize — mackee-mcp-daemonize. Use this tool when you need to manage and monitor long-running daemons via AI agents, solving issues of process control and visibility in automated systems. It provides a Model Context Protocol server, accepting inputs from AI agents and outputting daemon status and control signals. Ideal for use cases requiring seamless daemon management, such as continuous integration and deployment pipelines using git.

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

## Description

A Model Context Protocol server for seamless management and monitoring of long-running daemons via AI agents

## Trust

- **Trust score (0–1):** 0.98
- **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/mackee/mcp-daemonize)

## 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": "mackee-mcp-daemonize"
    }
  }
}
```

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