Pronunciation & Voice Coach MCP Server

What the code does

We read the source, 7 d ago · rules 995398eba69f

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

    return subprocess.run(

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Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

claude mcp add pronunciation -- uvx mcp-server-pronunciation

{
  "mcpServers": {
    "pronunciation": {
      "command": "uvx",
      "args": [
        "mcp-server-pronunciation"
      ]
    }
  }
}

[mcp_servers.pronunciation]
command = "uvx"
args = ["mcp-server-pronunciation"]

{
  "mcpServers": {
    "pronunciation": {
      "command": "uvx",
      "args": [
        "mcp-server-pronunciation"
      ]
    }
  }
}

{
  "servers": {
    "pronunciation": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-server-pronunciation"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: MCP_PRONUNCIATION_MODEL (faster-whisper model size. Default: base.en. Options: tiny.en, base.en, small.en, medium.en, large-v3, large-v3-turbo), HF_HUB_CACHE (Override Hugging Face Hub cache directory where Whisper weights are stored), MCP_PRONUNCIATION_PRELOAD (Set to 0, false, no, or off to disable background Whisper model preload during registry inspection or Docker smoke tests), MCP_PRONUNCIATION_AUDIO_RETENTION (Temporary WAV retention policy. Use session to delete recordings when the server exits, or keep for manual inspection), TORCH_HOME (Override PyTorch cache directory for optional wav2vec2 forced-alignment weights).