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Asr MCP Server

@vidau-ai

基本信息

分类

其他

传输方式

stdio

作者

vidau-ai

提交者

xingliang lin

关于 Asr MCP Server

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.

Asr MCP Server 配置

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"
      ]
    }
  }
}

Asr MCP Server 工具

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。

概览

What is Asr_mcp_server?

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.

How to use Asr_mcp_server?

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.

Key features of Asr_mcp_server

  • Provides ASR capabilities using the whisper engine.
  • Exposes speech recognition as MCP tools.
  • Integrates easily into MCP‑compatible applications.
  • Requires only Python 3.10+ and uv.

Use cases of Asr_mcp_server

  • Transcribing audio files or streams in real‑time.
  • Adding speech‑to‑text to MCP‑based workflows and agents.

常见问题

1

What prerequisites are needed for Asr_mcp_server?

Python 3.10 or higher, the `uv` package manager, and the `openai whisper` package.

2

How is Asr_mcp_server configured?

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"]`.

3

What does Asr_mcp_server do?

It provides automatic speech recognition (ASR) using the whisper engine, exposed as an MCP tool.

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