ms-tts
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ms-ttsConvert 'Hello, how are you?' to French speech."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Text-to-Speech Server
Model Context Protocol server for text-to-speech synthesis using Azure Speech Services.
Features
🎵 High-Quality Speech: Azure Neural voices with natural sound
🌍 6 Languages: English, Finnish, Spanish, German, French, Swedish
🗣️ Smart Voice Selection: Auto-select optimal voices or specify manually
📊 Performance Metrics: Synthesis timing and audio stats
🔧 MCP Compatible: Works with Claude Desktop, VS Code, other MCP clients
Related MCP server: voiceroid_daemon-mcp
Supported Voices
Language | Default Voice | Alternatives |
English (en-US) |
|
|
Finnish (fi-FI) |
|
|
Spanish (es-ES) |
|
|
German (de-DE) |
|
|
French (fr-FR) |
|
|
Swedish (sv-SE) |
|
|
Quick Start
# 1. Install
npm install
# 2. Configure (copy from parent or create .env)
cp ../.env .env
# 3. Test
npm run test:basic
# 4. Start
npm startRequired .env:
AZURE_SPEECH_KEY=your-key
AZURE_SPEECH_REGION=westeuropeMCP Integration
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"audio-tts": {
"command": "node",
"args": ["/path/to/mcp-server/mcp-server.mjs"],
"env": {"AZURE_SPEECH_KEY": "your-key", "AZURE_SPEECH_REGION": "westeurope"}
}
}
}VS Code
Use included .vscode/mcp.json or install MCP extension.
Usage
Natural language: "Convert to Finnish speech: Hei kaikki, olen Jenny."
Direct tool call:
{
"tool": "synthesize_speech",
"parameters": {
"sentence": "Hei kaikki, olen Jenny ja puhun suomea.",
"language": "fi-FI",
"voice": "en-US-JennyMultilingualNeural"
}
}Tool Parameters
Parameter | Required | Description |
| ✅ | Text to convert (1-1000 chars) |
| ✅ | Language code ( |
| ❌ | Specific voice (uses language default if not specified) |
Output
Audio saved to ./audio/mcp-generated/ as:
mcp-tts-fi_FI-en-US-JennyMultilingualNeural-2025-08-17T16-30-45-123Z.wavReturns: file path, voice used, performance metrics (synthesis time, duration, etc.)
Troubleshooting
Server won't start: Check Azure credentials in .env, ensure Node.js 16+, run npm install
No audio output: Verify output directory exists, check Azure quota/billing, confirm supported language
Voice issues: Use exact voice names from table above, try language default, check Azure region support
Debug mode: DEBUG=* npm start
Requirements
Node.js 16+
Azure Speech Services API key
MCP-compatible client (Claude Desktop, VS Code with MCP extension)
Built with Model Context Protocol for universal AI integration
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