# MCP Audio Transcriber

> Use this tool when you need to transcribe audio files into text, solving problems such as converting spoken language to written format for analysis or accessibility purposes. The MCP Audio Transcriber takes audio files as input and produces JSON transcriptions as output, accessible through both command-line interface (CLI) and web UI. It is ideal for use cases where automated audio transcription is required, such as podcast analysis, interview transcription, or audio data processing.

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

## Description

A portable, Dockerized Python tool that implements Model Context Protocol for audio transcription using Whisper models, featuring both CLI and web UI interfaces for converting audio files to JSON transcriptions.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kts1za3i9v)
- **Repository:** <https://github.com/ShreyasTembhare/MCP---Audio-Transcriber>

## 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": "shreyastembhare-mcp-audio-transcriber"
    }
  }
}
```

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

---
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