# chordsynth

> Use this tool when you need to generate high-quality audio files from chord progressions, solving music composition and audio production problems. It takes in named presets or custom chord strings as input and outputs WAV files, allowing for flexible and creative music rendering. Ideal for musicians, producers, and composers seeking to quickly render chord progressions to audio.

Canonical page: https://skillsregistry.net/skills/technoriver-chordsynth  
JSON: https://api.skillsregistry.net/v1/skills/technoriver-chordsynth

## Description

Render a chord progression to WAV. Supports 28 named presets or custom chord strings with slash chords.

## 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:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/technoriver/chordsynth)
- **Repository:** <https://github.com/TechnoRiver/chord-synth-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": "technoriver-chordsynth"
    }
  }
}
```

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