What hardware does it require?
An Apple Silicon Mac (M-series) running Python 3.12 or higher, with `uv` installed.
@kachiO
基本情報
Local MCP server for MLX Whisper transcription
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": {
"mlx-whisper-mcp": {
"command": "uv",
"args": [
"run",
"mlx_whisper_mcp.py"
]
}
}
}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。
A Model Context Protocol server that provides audio transcription capabilities using MLX Whisper on Apple Silicon Macs. It can transcribe audio files, base64-encoded audio data, and YouTube videos.
Run directly with uv run mlx_whisper_mcp.py. For Claude Desktop, use uv tool run fastmcp install mlx_whisper_mcp.py or manually configure the server in the Claude Desktop config JSON with the uv command and the script's working directory.
mlx-community/whisper-large-v3-turbo modeluv runAn Apple Silicon Mac (M-series) running Python 3.12 or higher, with `uv` installed.
Dependencies are handled automatically by `uv run` when starting the server. The Whisper model (≈1.6 GB) is downloaded on first run.
They are saved to `~/.mlx-whisper-mcp/downloads` unless the `keep_file` option is set to `True`.
The large model may cause memory pressure on very long audio files.
Some videos may be restricted or require authentication, which is not supported by the server.

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