# Counterpoint Studio Audio File

> Use this tool when you need to inspect and analyze local audio files with advanced playback controls and metadata extraction. It solves problems related to audio file analysis, loudness measurement, and waveform visualization, providing inputs such as audio files and outputs like metadata, loudness measurements, and visualized waveforms. Ideal for use in audio engineering, music production, and post-production contexts where detailed audio analysis is required.

Canonical page: https://skillsregistry.net/skills/counterpoint-studio-audio-file  
JSON: https://api.skillsregistry.net/v1/skills/counterpoint-studio-audio-file

## Description

Inspect local audio files with in-conversation playback controls, metadata extraction, EBU R128 loudness measurement, and waveform visualization with spectral coloring. Supports reassigned spectrograms and looping region selection. Distributed via npm as @counterpoint-studio/audio-file-mcp-app.

## Trust

- **Trust score (0–1):** 0.64
- **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/counterpoint-studio-audio-file)
- **Repository:** <https://github.com/counterpoint-studio/audio-file-mcp-app>

## 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": "counterpoint-studio-audio-file"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/counterpoint-studio-audio-file` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/counterpoint-studio-audio-file/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