# Wubble

> Use this tool when you need to create, inspect, and manage audio requests, such as music, speech, voice, and sound effects, to enhance multimedia experiences. It solves problems related to audio content creation and management, providing a streamlined interface for sending and receiving audio requests through MCP. Ideal for use cases requiring customized audio outputs, such as voice assistants, audio editing, and multimedia production.

Canonical page: https://skillsregistry.net/skills/ai-wubble-audio  
JSON: https://api.skillsregistry.net/v1/skills/ai-wubble-audio

## Description

Create, inspect, and manage Wubble music, speech, voice, and sound-effect requests through MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-25

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.wubble%2Faudio)

## Use it

MCP endpoint published by the skill: `https://mcp.wubble.ai/mcp`

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": "ai-wubble-audio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-wubble-audio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-wubble-audio/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