Open Router Audio Transcription MCP
Transcribes audio files using Google's Gemini models via OpenRouter, with verbatim, cleaned, and custom prompt modes.
Transcribes audio files using OpenAI's GPT audio models via OpenRouter, with verbatim, cleaned, and custom prompt modes.
Transcribes audio files using Xiaomi's Mimo model via OpenRouter, with verbatim, cleaned, and custom prompt modes.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Open Router Audio Transcription MCP transcribe recording.mp3 verbatim"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Open Router Audio Transcription MCP
End of life (2026-11-02). No longer maintained. Succeeded by Transcription-Pipeline, agent skills that call the transcription APIs directly with no MCP server, plus preprocessing, cleanup, speaker labelling, reshaping, PDF and saving stages. What was carried over: docs/prior-art.md.
An MCP server that transcribes audio files using OpenRouter's audio-capable language models.
Features
Verbatim transcription — exact word-for-word output including filler words, false starts, and repetitions
Cleaned transcription — lightly edited for readability: removes fillers, adds punctuation, sentence boundaries, and paragraph breaks; omits content not intended for transcription
Custom prompt transcription — direct the transcription with your own prompt for specialized use cases
Related MCP server: audio-transcription-mcp
Supported Models
Model | Provider |
| |
| |
| Xiaomi |
| OpenAI |
| OpenAI |
| Mistral |
| OpenAI |
Supported Audio Formats
mp3, wav, ogg, flac, m4a, aac, webm, wma, opus
Setup
1. Get an OpenRouter API key
Sign up at openrouter.ai and create an API key at openrouter.ai/keys.
2. Add to Claude Code
Run the following command to add the MCP server to Claude Code:
claude mcp add audio-transcription -e OPENROUTER_API_KEY=your-api-key-here -- npx -y or-audio-transcription-mcp
Or add it manually to your Claude Code MCP settings (~/.claude/settings.json or project .mcp.json):
{
"mcpServers": {
"audio-transcription": {
"command": "npx",
"args": ["-y", "or-audio-transcription-mcp"],
"env": {
"OPENROUTER_API_KEY": "your-api-key-here"
}
}
}
}Alternative: Install from source
git clone https://github.com/danielrosehill/OR-Audio-Transcription-MCP.git
cd OR-Audio-Transcription-MCP
npm install
npm run buildThen configure with a direct path:
claude mcp add audio-transcription -e OPENROUTER_API_KEY=your-api-key-here -- node /path/to/OR-Audio-Transcription-MCP/dist/index.js
Tools
transcribe_audio
Transcribe an audio file.
Parameter | Type | Required | Description |
| string | Yes | Absolute path to the audio file |
|
| Yes | Transcription mode |
| string | When mode=custom | Custom prompt to direct the transcription |
| string | No | OpenRouter model ID (defaults to |
| boolean | No | Use budget model ( |
list_transcription_models
Lists all available audio transcription models.
License
MIT
Available Tools
2 toolslist_transcription_modelsA
List available OpenRouter models that support audio transcription.
Inputs: no named parameters.
transcribe_audioB
Transcribe an audio file using OpenRouter. Supports verbatim, cleaned, or custom prompt modes.
Inputs: mode (required), file_path (required), model, budget, +1 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one discovers available transcription models, the other performs the transcription. There is no plausible way to confuse them.
Both names follow a consistent snake_case verb_noun pattern (list_transcription_models, transcribe_audio) and are predictable for the domain.
Two tools is on the thin side for a server, even a focused one; a discovery tool plus a single action tool leaves little room for variation. It is workable but borderline minimal.
The core workflow (find a model, then transcribe) is covered end to end. Some useful operations like batch transcription or job status are absent, but they are minor gaps an agent can work around.
Maintenance
Related MCP Connectors
MCP server for RiverScript, an AI transcription platform - fetches transcripts shared via a link.
MCP server for Speech-to-Text
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
An MCP server that gives any LLM or agent clean YouTube transcripts on demand: a single video, a whole channel, or a playlist, plus AI cleanup of auto-generated captions. API-key auth, credit-based, same backend as the public v1 API. Get a free API key with 25 free credits at youtubetranscriptdownload.com/account.
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