Pronunciation & Voice Coach MCP Server

What the code does

We read the source, 19 h ago · rules 3dff92dd89df

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(

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

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

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

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

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

This one needs environment variables set before it will start: 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.). The author declared them in the registry entry; get the values from the project itself.