# vocametrix-mcp

> Use this tool when you need to integrate clinical voice analysis into AI agents, solving problems such as speech disorder assessment and pronunciation evaluation. The vocametrix-mcp server takes in voice recordings and outputs 40+ metrics, including AVQI, DSI, and prosody similarity, through the Model Context Protocol (MCP) interface. Use it in contexts where voice analysis is crucial, such as healthcare and language learning applications.

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

## Description

Official Model Context Protocol (MCP) server for Vocametrix — bring clinical voice analysis (AVQI, DSI, jitter/shimmer, pronunciation assessment, prosody similarity, and 40+ more) into Claude, Cursor, Zed, Windsurf, and any MCP-compatible agent.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/pmarmaroli/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": "pmarmaroli-vocametrix-mcp"
    }
  }
}
```

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