MS-Lucidia-Voice-Gateway-MCP

A Model Context Protocol (MCP) server that provides text-to-speech and speech-to-text capabilities using Windows' built-in speech services. This server leverages the native Windows Speech API (SAPI) through PowerShell commands, eliminating the need for external APIs or services.

Features

• Text-to-Speech (TTS) using Windows SAPI voices
• Speech-to-Text (STT) using Windows Speech Recognition
• Simple web interface for testing
• No external API dependencies
• Uses native Windows capabilities

Prerequisites

• Windows 10/11 with Speech Recognition enabled
• Node.js 16+
• PowerShell

Installation

1. Clone the repository:

git clone https://github.com/ExpressionsBot/MS-Lucidia-Voice-Gateway-MCP.git
cd MS-Lucidia-Voice-Gateway-MCP

2. Install dependencies:

npm install

3. Build the project:

npm run build

Usage

Testing Interface

1. Start the test server:

npm run test

2. Open http://localhost:3000 in your browser
3. Use the web interface to test TTS and STT capabilities

Available Tools

text_to_speech

Converts text to speech using Windows SAPI.

Parameters:

• text (required): The text to convert to speech
• voice (optional): The voice to use (e.g., "Microsoft David Desktop")
• speed (optional): Speech rate from 0.5 to 2.0 (default: 1.0)

Example:

fetch('http://localhost:3000/tts', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    text: "Hello, this is a test",
    voice: "Microsoft David Desktop",
    speed: 1.0
  })
});

speech_to_text

Records audio and converts it to text using Windows Speech Recognition.

Parameters:

• duration (optional): Recording duration in seconds (default: 5, max: 60)

Example:

fetch('http://localhost:3000/stt', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    duration: 5
  })
}).then(response => response.json())
  .then(data => console.log(data.text));

Troubleshooting

1. Make sure Windows Speech Recognition is enabled:

   • Open Windows Settings
   • Go to Time & Language > Speech
   • Enable Speech Recognition

2. Check available voices:

   • Open PowerShell and run:

   Add-Type -AssemblyName System.Speech
   (New-Object System.Speech.Synthesis.SpeechSynthesizer).GetInstalledVoices().VoiceInfo.Name

3. Test speech recognition:

   • Open Speech Recognition in Windows Settings
   • Run through the setup wizard if not already done
   • Test that Windows can recognize your voice

Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a new Pull Request

License

MIT

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