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Open Router Audio Transcription MCP

Open Router Audio Transcription MCP

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 No longer maintained.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

google/gemini-3-flash-preview (default standard)

Google

google/gemini-3.1-flash-lite-preview (default budget)

Google

xiaomi/mimo-v2-omni

Xiaomi

openai/gpt-audio

OpenAI

openai/gpt-audio-mini (budget)

OpenAI

mistralai/voxtral-small-24b-2507

Mistral

openai/gpt-4o-audio-preview

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 build

Then 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

file_path

string

Yes

Absolute path to the audio file

mode

"verbatim" | "cleaned" | "custom"

Yes

Transcription mode

custom_prompt

string

When mode=custom

Custom prompt to direct the transcription

model

string

No

OpenRouter model ID (defaults to google/gemini-3-flash-preview)

budget

boolean

No

Use budget model (google/gemini-3.1-flash-lite-preview). Ignored if model is set

list_transcription_models

Lists all available audio transcription models.

License

MIT

Available Tools

2 tools
list_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.

Loading tool schema changelog…

    TDQS

    A3.5/5.0

    Scored across 2 tools

    Disambiguation5/5

    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.

    Naming Consistency5/5

    Both names follow a consistent snake_case verb_noun pattern (list_transcription_models, transcribe_audio) and are predictable for the domain.

    Tool Count3/5

    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.

    Completeness4/5

    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

    ActivityMaintained
    ResponsivenessOutdated data

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