What prerequisites are needed for Asr_mcp_server?
Python 3.10 or higher, the `uv` package manager, and the `openai whisper` package.
@vidau-ai
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"asr_mcp_server": {
"command": "/YOUR_CONDA_PATH/bin/uv",
"args": [
"--directory",
"/YOUR_PATH/asr_mcp_server",
"run",
"asr_server.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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