# Auphonic

> Use this tool when you need to automate podcast production workflows, as it integrates with the Auphonic audio processing platform to streamline tasks such as uploading audio files and managing presets. It solves problems like manual audio editing and processing, and supports inputs like audio files and presets, with outputs including processed audio and production status updates. It is ideal for use in podcast production contexts where efficiency and consistency are key.

Canonical page: https://skillsregistry.net/skills/jupiterbroadcasting-auphonic  
JSON: https://api.skillsregistry.net/v1/skills/jupiterbroadcasting-auphonic

## Description

Integrates with the Auphonic audio processing platform to automate podcast production workflows. Supports uploading audio files, monitoring production status, downloading processed output, and managing presets. Includes show-specific configurations for different podcast series with preset-based processing pipelines.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jupiterbroadcasting-auphonic)
- **Repository:** <https://github.com/jupiterbroadcasting/auphonic-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": "jupiterbroadcasting-auphonic"
    }
  }
}
```

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