# audio-mcp

> audio-mcp — narteyr-audio-mcp. Use this tool when you need to develop and test audio workflows without incurring API costs or relying on external services. The audio-mcp tool generates placeholder WAV files locally, allowing for seamless testing of audio generation pipelines. It accepts workflow configurations as input and produces temporary WAV files as output, making it ideal for prototyping and debugging audio applications.

Canonical page: https://skillsregistry.net/skills/narteyr-audio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/narteyr-audio-mcp

## Description

A mock-first MCP server for audio generation that creates placeholder WAV files locally, enabling development and testing of audio workflows without APIs or costs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g7ylqffn44)
- **Repository:** <https://github.com/narteyr/audio-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": "narteyr-audio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/narteyr-audio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/narteyr-audio-mcp/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