<span style="color: #FF69B4;">📢 Blabber-MCP</span> <span style="color: #ADD8E6;">🗣️</span>

<span style="color: #90EE90;">An MCP server that gives your LLMs a voice using OpenAI's Text-to-Speech API!</span> 🔊

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<span style="color: #FFD700;">✨ Features</span>

• Text-to-Speech: Converts input text into high-quality spoken audio.
• Voice Selection: Choose from various OpenAI voices (alloy, echo, fable, onyx, nova, shimmer).
• Model Selection: Use standard (tts-1) or high-definition (tts-1-hd) models.
• Format Options: Get audio output in mp3, opus, aac, or flac.
• File Saving: Saves the generated audio to a local file.
• Optional Playback: Automatically play the generated audio using a configurable system command.
• Configurable Defaults: Set a default voice via configuration.

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<span style="color: #FFA07A;">🔧 Configuration</span>

To use this server, you need to add its configuration to your MCP client's settings file (e.g., mcp_settings.json).

1. Get OpenAI API Key: You need an API key from OpenAI.
2. Add to MCP Settings: Add the following block to the mcpServers object in your settings file, replacing "YOUR_OPENAI_API_KEY" with your actual key.

{
  "mcpServers": {
    "blabber-mcp": {
      "command": "node",
      "args": ["/full/path/to/blabber-mcp/build/index.js"], (IMPORTANT: Use the full, absolute path to the built index.js file)
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY",
        "AUDIO_PLAYER_COMMAND": "xdg-open", (Optional: Command to play audio (e.g., "cvlc", "vlc", "mpv", "ffplay", "afplay", "xdg-open"; defaults to "cvlc")
        "DEFAULT_TTS_VOICE": "nova" (Optional: Set default voice (alloy, echo, fable, onyx, nova, shimmer); defaults to nova)
      },
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

<span style="color: #FF6347;">Important:</span> Make sure the args path points to the correct location of the build/index.js file within your blabber-mcp project directory. Use the full absolute path.

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<span style="color: #87CEEB;">🚀 Usage</span>

Once configured and running, you can use the text_to_speech tool via your MCP client.

Tool: text_to_speech Server: blabber-mcp (or the key you used in the config)

Arguments:

• input (string, required): The text to synthesize.
• voice (string, optional): The voice to use (alloy, echo, fable, onyx, nova, shimmer). Defaults to the DEFAULT_TTS_VOICE set in config, or nova.
• model (string, optional): The model (tts-1, tts-1-hd). Defaults to tts-1.
• response_format (string, optional): Audio format (mp3, opus, aac, flac). Defaults to mp3.
• play (boolean, optional): Set to true to automatically play the audio after saving. Defaults to false.

Example Tool Call (with playback):

<use_mcp_tool>
  <server_name>blabber-mcp</server_name>
  <tool_name>text_to_speech</tool_name>
  <arguments>
  {
    "input": "Hello from Blabber MCP!",
    "voice": "shimmer",
    "play": true
  }
  </arguments>
</use_mcp_tool>

Output:

The tool saves the audio file to the output/ directory within the blabber-mcp project folder and returns a JSON response like this:

{
  "message": "Audio saved successfully. Playback initiated using command: cvlc",
  "filePath": "path/to/speech_1743908694848.mp3", 
  "format": "mp3",
  "voiceUsed": "shimmer"
}

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<span style="color: #98FB98;">📜 License</span>

This project is licensed under the MIT License - see the LICENSE file for details.

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<span style="color: #BA55D3;">🕒 Changelog</span>

See the CHANGELOG.md file for details on version history.

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<p align="center">Made with ❤️ by Pink Pixel</p>