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Whisper Speech Recognition MCP Server

@BigUncle

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BigUncle

Whisper Speech Recognition MCP Server について

A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities.

Whisper Speech Recognition MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "Fast-Whisper-MCP-Server": {
      "command": "python",
      "args": [
        "whisper_server.py"
      ]
    }
  }
}

Whisper Speech Recognition MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Whisper Speech Recognition MCP Server?

A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities. It is designed for developers who want to integrate speech-to-text into AI tools like Claude Desktop.

How to use Whisper Speech Recognition MCP Server?

Install dependencies (Python 3.10+, Faster Whisper, PyTorch, MCP), then run start_server.bat on Windows or python whisper_server.py on other platforms. Configure the server in Claude Desktop by adding its path to claude_desktop_config.json. Three tools are available: get_model_info, transcribe, and batch_transcribe.

Key features of Whisper Speech Recognition MCP Server

  • Integrated with Faster Whisper for efficient speech recognition
  • Batch processing acceleration for improved transcription speed
  • Automatic CUDA acceleration when available
  • Support for multiple model sizes (tiny to large-v3)
  • Output formats: VTT subtitles, SRT, and JSON
  • Model instance caching to avoid repeated loading

Use cases of Whisper Speech Recognition MCP Server

  • Transcribe a single audio file via the transcribe tool
  • Batch transcribe all audio files in a folder using batch_transcribe
  • Integrate speech-to-text capabilities into Claude Desktop
  • Process long audio files with VAD (Voice Activity Detection) for improved accuracy

よくある質問

1

What are the runtime dependencies?

Python 3.10+, faster-whisper>=0.9.0, PyTorch and torchaudio (CUDA or CPU version), and mcp[cli]>=1.2.0.

2

How do I start the Whisper Speech Recognition MCP Server?

On Windows, run `start_server.bat`. On other platforms, run `python whisper_server.py` from the project directory.

3

How do I integrate the server with Claude Desktop?

Edit `claude_desktop_config.json` (located in `%APPDATA%\Claude` on Windows or `~/Library/Application Support/Claude` on macOS) and add the server configuration with the command `python` and the path to `whisper_server.py`.

4

What model sizes are supported?

The server supports model sizes from tiny up to large-v3, allowing a trade-off between speed and accuracy.

5

What output formats are available?

Transcriptions can be produced in VTT (subtitles), SRT (subtitles), or JSON formats.

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