# Sound Effects

> Use this tool when you need to enhance user experience with audio feedback for various events, such as completion, error, or notification, and provide clear sound effects without requiring text-based feedback. It plays predefined or custom sounds, lists available sound files, and installs sounds to the user's config directory. Ideal for AI agents operating in Cursor AI and other MCP-compatible environments across Windows, macOS, and Linux platforms.

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

## Description

MCP Sound Tool is a Python-based server that plays sound effects to enhance the coding experience in Cursor AI and other MCP-compatible environments. Developed by Tijs Teulings, it provides audio feedback for various events (completion, error, notification) across Windows, macOS, and Linux platforms. The implementation exposes tools for playing predefined or custom sounds, listing available sound files, and installing sounds to the user's config directory, making it particularly valuable for AI agents that want to provide clear audio cues without requiring users to read text feedback.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

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

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