Ms Tts — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Ms Tts (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Model Context Protocol server for text-to-speech synthesis using Azure Speech Services.
| Language | Default Voice | Alternatives |
|---|---|---|
| English (en-US) | en-US-RyanMultilingualNeural | en-US-JennyMultilingualNeural, en-US-AndrewMultilingualNeural |
| Finnish (fi-FI) | en-US-RyanMultilingualNeural | en-US-JennyMultilingualNeural, fi-FI-SelmaNeural, fi-FI-NooraNeural |
| Spanish (es-ES) | es-ES-AlvaroNeural | es-ES-ElviraNeural |
| German (de-DE) | de-DE-ConradNeural | de-DE-KatjaNeural |
| French (fr-FR) | fr-FR-DeniseNeural | fr-FR-HenriNeural |
| Swedish (sv-SE) | sv-SE-MattiasNeural | sv-SE-SofieNeural |
# 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=westeuropeclaude_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"}
}
}
}Use included .vscode/mcp.json or install MCP extension.
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"
}
}| Parameter | Required | Description |
|---|---|---|
sentence | ✅ | Text to convert (1-1000 chars) |
language | ✅ | Language code (en-US, fi-FI, es-ES, de-DE, fr-FR, sv-SE) |
voice | ❌ | Specific voice (uses language default if not specified) |
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.)
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
Built with Model Context Protocol for universal AI integration
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.