# whisper-mcp

> Use this tool when you need to transcribe voice messages from channels into text, enabling further processing and analysis. It solves the problem of converting audio attachments into readable formats, allowing for easier information extraction and automation. The tool takes audio files as input and outputs transcribed text, ideal for use cases where voice messages need to be processed and understood by systems like Claude Code.

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

## Description

MCP server that provides a transcribe_audio tool to convert voice messages from channels into text using OpenAI Whisper, enabling Claude Code to process audio attachments.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-17

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/loa8bep52w)
- **Repository:** <https://github.com/skroes/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": "skroes-whisper-mcp"
    }
  }
}
```

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