# Sound Notifications

> Use this tool when you need to alert users with audio cues and toast notifications on Linux systems, solving problems such as unattended task notifications and system event alerts. It takes input parameters like sound files, urgency levels, and notification messages, and outputs desktop audio notifications and toast alerts. Use it in contexts where visual notifications may not be sufficient, such as automated task management or system monitoring applications.

Canonical page: https://skillsregistry.net/skills/giuliocapecchi-sound  
JSON: https://api.skillsregistry.net/v1/skills/giuliocapecchi-sound

## Description

Lets AI agents trigger desktop audio notifications and toast alerts on Linux systems using PulseAudio or PipeWire. Provides tools to list available sounds, play specific audio files, set a default sound, and send desktop notifications with optional sounds and urgency levels. Requires Python 3.11+ and Linux with PulseAudio/PipeWire and libnotify installed.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

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

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