What prerequisites are needed for Asr_mcp_server?
Python 3.10 or higher, the `uv` package manager, and the `openai whisper` package.
@vidau-ai
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"asr_mcp_server": {
"command": "/YOUR_CONDA_PATH/bin/uv",
"args": [
"--directory",
"/YOUR_PATH/asr_mcp_server",
"run",
"asr_server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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