Media

songsee - Claude MCP Skill

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

SEO Guide: Enhance your AI agent with the songsee tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to generate spectrograms and feature-panel visualizations from audio with the songsee cli.... Download and configure this skill to unlock new capabilities for your AI workflow.

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Documentation

SKILL.md

# songsee

Generate spectrograms + feature panels from audio.

Quick start

- Spectrogram: `songsee track.mp3`
- Multi-panel: `songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux`
- Time slice: `songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg`
- Stdin: `cat track.mp3 | songsee - --format png -o out.png`

Common flags

- `--viz` list (repeatable or comma-separated)
- `--style` palette (classic, magma, inferno, viridis, gray)
- `--width` / `--height` output size
- `--window` / `--hop` FFT settings
- `--min-freq` / `--max-freq` frequency range
- `--start` / `--duration` time slice
- `--format` jpg|png

Notes

- WAV/MP3 decode native; other formats use ffmpeg if available.
- Multiple `--viz` renders a grid.

Signals

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Information

Repository: clawdbot/clawdbot
Author: clawdbot
Last Sync: 3/12/2026
Repo Updated: 3/12/2026
Created: 1/12/2026

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