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MS-Lucidia-Voice-Gateway-MCP

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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

  1. Install dependencies:

npm install

  1. Build the project:

npm run build

Usage

Testing Interface

  1. Start the test server:

npm run test

  1. Open http://localhost:3000 in your browser

  2. 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

This server cannot be installed

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