# vocametrix

> vocametrix — vocametrix-vocametrix-mcp. Use this tool when you need to analyze voice metrics, assess pronunciation, or transcribe speech for clinical or research purposes. Vocametrix provides AI assistants with access to over 40 endpoints for voice analysis, including AVQI, DSI, and jitter/shimmer, as well as AI-powered therapy planning. It is ideal for speech-language pathologists, voice researchers, and healthtech developers seeking to integrate clinical voice metrics into their applications.

Canonical page: https://skillsregistry.net/skills/vocametrix-vocametrix-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vocametrix-vocametrix-mcp

## Description

Official MCP server for the Vocametrix voice analysis API. Gives AI assistants direct access to clinical voice metrics (AVQI, DSI, jitter/shimmer, CPP), pronunciation assessment, speech transcription, prosody similarity, and AI-powered therapy planning. More than 40 endpoints for SLPs, voice researchers, and healthtech developers.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rg1x78d98j)
- **Repository:** <https://github.com/Vocametrix/vocametrix-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vocametrix-vocametrix-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vocametrix-vocametrix-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vocametrix-vocametrix-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt