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
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
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- Alicense-qualityDmaintenanceAn MCP server that converts text into lifelike speech using Microsoft Edge's Text-to-Speech service, supporting customizable voice, rate, volume, and pitch.4MIT
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