# Claud-Ear

> Use this tool when you need to analyze and understand audio files, enabling applications such as music classification, lyrics extraction, and signal processing. Claud-Ear takes audio files as input and provides outputs including semantic analysis, stem separation, and lyrics transcription through tool calls. Ideal for use cases requiring audio intelligence, such as music information retrieval and audio content analysis.

Canonical page: https://skillsregistry.net/skills/null-phnix-claud-ear  
JSON: https://api.skillsregistry.net/v1/skills/null-phnix-claud-ear

## Description

An MCP server that gives AI agents the ability to listen to and understand music/audio files, enabling semantic analysis, stem separation, lyrics transcription, and signal processing via tool calls.

## 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:** [Glama](https://glama.ai/mcp/servers/dztiyl11nt)
- **Repository:** <https://github.com/Null-Phnix/claud-ear>

## 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": "null-phnix-claud-ear"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/null-phnix-claud-ear` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/null-phnix-claud-ear/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