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Asr_mcp_server

@vidau-ai

Asr_mcp_server について

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.

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

vidau-ai

投稿者

xingliang lin

設定

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

ツールは検出されませんでした

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。

概要

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.

FAQ from Asr_mcp_server

What prerequisites are needed for Asr_mcp_server?

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

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"].

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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