# CHIVOX speech MCP

> Use this tool when you need to evaluate and improve the pronunciation of your AI agent's speech output in real-time. It solves problems related to speech quality and pronunciation accuracy, providing multi-dimensional assessment and scoring. The tool takes audio input and returns detailed pronunciation scores and feedback through the CHIVOX server interface.

Canonical page: https://skillsregistry.net/skills/boyzhong123-mcp22  
JSON: https://api.skillsregistry.net/v1/skills/boyzhong123-mcp22

## Description

Gives your AI agent real-time pronunciation scoring and multi-dimensional speech assessment through CHIVOX  server.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ml5eyqo6ot)
- **Repository:** <https://github.com/boyzhong123/mcp22>

## 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": "boyzhong123-mcp22"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/boyzhong123-mcp22` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/boyzhong123-mcp22/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