# mini_whisper_mcp

> Use this tool when you need to transcribe audio files into text, solving problems such as speech-to-text conversion and audio data analysis. It takes base64-encoded audio input via stdio or HTTP and outputs transcribed text, supporting various model sizes for flexible accuracy and performance. Ideal for use cases requiring automated audio transcription, such as podcast analysis, voice note transcription, or audio data processing.

Canonical page: https://skillsregistry.net/skills/rhuanca-mini-whisper-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rhuanca-mini-whisper-mcp

## Description

This MCP server enables audio transcription using OpenAI Whisper, supporting various model sizes and base64-encoded audio input via stdio or HTTP transport.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r6yldn08yx)
- **Repository:** <https://github.com/rhuanca/mini_whisper_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": "rhuanca-mini-whisper-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rhuanca-mini-whisper-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rhuanca-mini-whisper-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