# Commander

> Use this tool when you need to manage and control long-running background processes, such as development servers or build tasks, across multiple platforms. Commander provides capabilities for executing, monitoring, and stopping processes, as well as accessing detailed status information and persistent logs. It is ideal for AI assistants that require reliable and efficient process management, offering a standard I/O transport interface for seamless integration.

Canonical page: https://skillsregistry.net/skills/towry-commander  
JSON: https://api.skillsregistry.net/v1/skills/towry-commander

## Description

Commander MCP provides AI assistants with background process management capabilities through PMDaemon integration, enabling execution, monitoring, and control of long-running processes via standard I/O transport. Built by Towry Wang in Rust using the official MCP SDK, it offers seven tools for running commands in the background, killing/stopping processes, reading persistent logs, restarting processes, and listing all managed processes with detailed status information including CPU usage, memory consumption, and uptime. The implementation automatically generates process IDs from command keywords, detects early process failures within one second of startup, and maintains persistent log files that can be accessed at any time, making it valuable for AI assistants that need to manage development servers, build processes, or any long-running background tasks across Linux, macOS, and Windows platforms.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/towry-commander)
- **Repository:** <https://github.com/towry/commander-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": "towry-commander"
    }
  }
}
```

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

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