MS-Lucidia-Voice-Gateway-MCP
A Model Context Protocol (MCP) server that provides text-to-speech and speech-to-text capabilities using Windowsβ 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
- Clone the repository:
git clone https://github.com/ExpressionsBot/MS-Lucidia-Voice-Gateway-MCP.git
cd MS-Lucidia-Voice-Gateway-MCP- Install dependencies:
npm install- Build the project:
npm run buildUsage
Testing Interface
- Start the test server:
npm run test- Open
http://localhost:3000in your browser - 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 speechvoice(optional): The voice to use (e.g., βMicrosoft David Desktopβ)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
-
Make sure Windows Speech Recognition is enabled:
- Open Windows Settings
- Go to Time & Language > Speech
- Enable Speech Recognition
-
Check available voices:
- Open PowerShell and run:
Add-Type -AssemblyName System.Speech (New-Object System.Speech.Synthesis.SpeechSynthesizer).GetInstalledVoices().VoiceInfo.Name -
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
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a new Pull Request
License
MIT
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