# MCP-Audio Plugin

> Use this tool when you need to transcribe audio files into text format, solving problems such as manual transcription efforts and inaccessibility of audio content. The MCP-Audio Plugin takes audio files in multipart/form-data or base64 formats as input and outputs accurate text transcripts, utilizing SiliconFlow technology. Ideal for use cases where audio data needs to be converted into readable text, such as podcast transcription or audio note-taking.

Canonical page: https://skillsregistry.net/skills/aio-2030-mcp-audio  
JSON: https://api.skillsregistry.net/v1/skills/aio-2030-mcp-audio

## Description

A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xxsj5twu33)
- **Repository:** <https://github.com/AIO-2030/mcp-audio>

## 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": "aio-2030-mcp-audio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aio-2030-mcp-audio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aio-2030-mcp-audio/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