# audio-transcription-mcp

> Use this tool when you need to capture and transcribe system audio in real-time, solving problems such as meeting note-taking, content creation, and accessibility barriers. It takes in system audio as input and outputs transcribed text, leveraging OpenAI Whisper for accurate results. Ideal for use cases like meeting transcription, podcasting, and video content creation, where natural language understanding is key.

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

## Description

Captures and transcribes system audio in real-time using OpenAI Whisper, enabling meeting transcription, content creation, and accessibility through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **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/ym31p45nur)
- **Repository:** <https://github.com/pmerwin/audio-transcription-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": "pmerwin-audio-transcription-mcp"
    }
  }
}
```

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