# Daemonize

> Use this tool when you need to manage long-running development processes, such as starting and monitoring servers, without requiring manual intervention. Daemonize solves the problem of handling continuous development server tasks, providing features like process monitoring, real-time logging, and automated debugging. It is particularly useful in autonomous coding workflows where AI agents need to manage development servers like Vite or Next.js.

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

## Description

mcp-daemonize is a server designed to help AI agents like Claude Code and Cline manage long-running processes (daemons) during development. Created by mackee, it solves the problem of AI agents being unable to start, monitor, and debug development servers that need to run continuously. The implementation provides tools to start daemons without waiting for completion, stop running processes, view real-time logs, and list active daemons. It's particularly valuable for autonomous coding workflows where AI agents need to manage development servers (like Vite or Next.js), monitor their output, and perform automated debugging without requiring users to manually handle these processes in separate terminals.

## Trust

- **Trust score (0–1):** 1.00
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/mackee-daemonize)
- **Repository:** <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-daemonize"
    }
  }
}
```

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