# Windows System Sounds MCP Server

> Windows System Sounds MCP Server — vasjabrevno-dev-windows-system-sounds-mcp. Use this tool when you need to provide audible notifications for task completion or attention, playing built-in Windows system sounds or custom WAV files. It solves the problem of visually monitoring tasks, allowing users to multitask while receiving audio cues. The tool takes input parameters such as sound presets, file paths, repeats, and intervals, and outputs audible notifications through the system speakers.

Canonical page: https://skillsregistry.net/skills/vasjabrevno-dev-windows-system-sounds-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vasjabrevno-dev-windows-system-sounds-mcp

## Description

Plays built-in Windows system sounds or WAV files to notify users when tasks finish or need attention, using the winsound module. Provides a single play_sound tool with presets and customizable file paths, repeats, and intervals.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/of06hdy5gy)
- **Repository:** <https://github.com/vasjabrevno-dev/windows-system-sounds-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": "vasjabrevno-dev-windows-system-sounds-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vasjabrevno-dev-windows-system-sounds-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vasjabrevno-dev-windows-system-sounds-mcp/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