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Vocametrix Voice Analysis

Official

by Vocametrix · TypeScript

Clinical voice analysis MCP server — AVQI, DSI, jitter/shimmer, pronunciation assessment, and more.

A Model Context Protocol server for Vocametrix’s clinical voice analysis features. It exposes MCP-compatible access to clinical voice metrics, pronunciation assessment, speech transcription, and therapy-planning aids, enabling AI assistants to work with voice data in healthcare contexts.

🛠️ Key Features

  • Clinical voice metrics (AVQI, DSI, jitter/shimmer) and pronunciation assessment
  • MCP-compatible access for AI assistants (Claude Desktop, Cursor, etc.)
  • Supports transcription and therapy-planning capabilities
  • Works as the official MCP server for Vocametrix API needs
  • Integrates with model-context-protocol workflows and tooling

🚀 Use Cases

  • AI-assisted voice analysis in clinical workflows
  • Speech-language pathology support and therapy planning
  • Voice metric extraction for research and diagnostics
  • In-app access to pronunciation scoring for language therapy
  • Integration with MCP-enabled copilots and agents

⚡ Developer Benefits

  • Clear MCP server endpoint for clinical voice data
  • Rich set of voice analytics exposed to AI agents
  • Separable readme excerpt and quick-start guidance
  • Interoperable with Claude Desktop, Cursor, and similar MCP clients

⚠️ Limitations

  • Source data indicates medical-analytic features; ensure proper compliance and privacy controls in deployment
  • Specific tokenization, rate limits, and API surface specifics are not listed here; refer to repository docs for details

Topics

acoustic-analysisagenticai-agentsavqiclaudeclaude-desktopcursordysphoniahealthcare-apillm-toolsmcpmcp-servermodel-context-protocolpraatpronunciation-assessmentslpspeech-therapyvocametrixvoice-analysiszed
Vocametrix Voice Analysis - agentage MCP Catalog