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Clinical voice analysis MCP server — AVQI, DSI, jitter/shimmer, pronunciation assessment, and more.
Clinical voice analysis MCP server — AVQI, DSI, jitter/shimmer, pronunciation assessment, and more.
Valid MCP server (6 strong, 5 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
7 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: VOCAMETRIX_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-pmarmaroli-vocametrix-mcp": {
"env": {
"VOCAMETRIX_API_KEY": "your-vocametrix-api-key-here"
},
"args": [
"-y",
"@vocametrix/mcp-server"
],
"command": "npx"
}
}
}From the project's GitHub README.
Official Model Context Protocol server for the Vocametrix voice analysis API.
Gives any MCP-compatible AI assistant (Claude Desktop, Cursor, Cline, etc.) direct access to clinical voice metrics, pronunciation assessment, speech transcription, and AI-powered therapy planning.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"vocametrix": {
"command": "npx",
"args": ["-y", "@vocametrix/mcp-server"],
"env": {
"VOCAMETRIX_API_KEY": "your-api-key-here"
}
}
}
}
Get an API key at vocametrix.com/registration. Free trial: 5 minutes of analysis.
| Tool | Description |
|---|---|
vocametrix_avqi | Acoustic Voice Quality Index (AVQI) — overall dysphonia severity |
vocametrix_dsi | Dysphonia Severity Index (DSI) |
vocametrix_cpp_cpps | Cepstral Peak Prominence — breathiness, hoarseness |
vocametrix_hnr | Harmonics-to-Noise Ratio (multi-band) |
vocametrix_jitter_shimmer | Period and amplitude perturbation |
vocametrix_vrp | Voice Range Profile |
vocametrix_prosody_similarity | Prosody similarity between two utterances |
| Tool | Description |
|---|---|
vocametrix_spectral | Spectral tilt, slope, and formant energy |
vocametrix_formants | Formant frequencies F1–F4 |
vocametrix_sz_ratio | S/Z phonation ratio |
vocametrix_gne | Glottal-to-Noise Excitation |
vocametrix_h1h2 | H1–H2 harmonic difference |
vocametrix_abi | Acoustic Breathiness Index |
vocametrix_voice_dynamics | Dynamic range and fundamental frequency statistics |
| Tool | Description |
|---|---|
vocametrix_assess_pronunciation | Phoneme-level pronunciation scoring |
vocametrix_assess_pronunciation_pitch | Pronunciation + pitch analysis combined |
vocametrix_transcribe | Streaming ASR transcription with progress |
vocametrix_tts | Text-to-speech synthesis |
vocametrix_tts_timing | TTS with word-level timing data |
| Tool | Description |
|---|---|
vocametrix_sound_level | dB SPL and intensity statistics |
vocametrix_egemaps | Extended Geneva Minimalistic Acoustic Parameter Set |
vocametrix_phoneme_detection | Phoneme presence/absence detection |
vocametrix_classify_stuttering | Dysfluency classification |
| Tool | Description |
|---|---|
vocametrix_agent_interpret_metrics | Clinical interpretation of voice metrics |
vocametrix_agent_exercises | Personalized voice/speech exercise generation |
vocametrix_agent_word_list | Target word list generation for therapy |
vocametrix_agent_therapist_chat | Conversational AI speech-language therapist |
vocametrix_agent_french_ipa | French text → IPA phonetic transcription |
vocametrix_agent_spell | Spelling correction agent |
vocametrix_agent_syntax | Syntax checking agent |
vocametrix_agent_vocabulary_tutor | Vocabulary tutoring agent |
vocametrix_agent_adaptive_exercise | Adaptive exercise generation |
| Tool | Description |
|---|---|
vocametrix_generate_therapy_plan | Generate an AI therapy plan |
vocametrix_get_therapy_status | Poll therapy plan generation status |
vocametrix_get_therapy_result | Fetch completed therapy plan |
vocametrix_approve_therapy_plan | Approve a therapy plan |
| Tool | Description |
|---|---|
vocametrix_full_voice_assessment | Parallel AVQI + CPP + HNR + jitter/shimmer + spectral |
vocametrix_batch_pronunciation | Assess a folder of WAV files |
vocametrix_full_therapy_workflow | Generate → poll → fetch → approval flow |
vocametrix://docs/api — API quick reference (auth, rate limits, audio requirements, error codes)vocametrix://thresholds/{metric} — Clinical reference thresholds for avqi, dsi, cpp, hnr, jitter-shimmer, gneinterpret_voice_assessment — Generate a clinical SLP-style interpretation report from assessment JSONcompare_pre_post_therapy — Quantified pre/post therapy narrative with metric-by-metric comparisongenerate_session_report — SOAP-format progress note from pronunciation assessment data| Variable | Required | Description |
|---|---|---|
VOCAMETRIX_API_KEY | Yes | Your Vocametrix API key |
git clone https://github.com/pmarmaroli/vocametrix-mcp.git
cd vocametrix-mcp
npm install
npm run build
npm run inspector # Test with MCP Inspector
Listed in the official MCP Registry under io.github.pmarmaroli/vocametrix-mcp. Available for one-click installation in MCP-compatible clients (Claude Desktop, Cursor, Zed, Windsurf, and more).
The Vocametrix ecosystem:
pip install vocametrix).npm install vocametrix).MIT — see LICENSE
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