What prerequisites are needed for Asr_mcp_server?
Python 3.10 or higher, the `uv` package manager, and the `openai whisper` package.
@vidau-ai
基本情報
A Model Context Protocol (MCP) server that provides ASR(Automatic Speech Recognition) capabilities using the whisper engine. This server exposes TTS functionality through MCP tools, making it easy to integrate speech synthesis into your applications.
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": {
"asr_mcp_server": {
"command": "/YOUR_CONDA_PATH/bin/uv",
"args": [
"--directory",
"/YOUR_PATH/asr_mcp_server",
"run",
"asr_server.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。
Asr_mcp_server is a Model Context Protocol (MCP) server that provides automatic speech recognition (ASR) using the whisper engine. It exposes ASR functionality as MCP tools for easy integration into compatible applications.
Configure the server in your MCP settings JSON with the uv command pointing to the asr_mcp_server directory and asr_server.py script. The server requires Python 3.10 or higher, the uv package manager, and the openai whisper package.
uv.Python 3.10 or higher, the `uv` package manager, and the `openai whisper` package.
Configure it in the MCP settings JSON using `"command": "/YOUR_CONDA_PATH/bin/uv"` with arguments `["--directory", "/YOUR_PATH/asr_mcp_server", "run", "asr_server.py"]`.
It provides automatic speech recognition (ASR) using the whisper engine, exposed as an MCP tool.
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