# tts-audio-mcp

> Use this tool when you need to analyze and debug TTS audio recordings from voice call centers, providing insights into transcription accuracy, audio quality, pacing, and mispronunciation. It takes in TTS audio recordings as input and outputs detailed analysis reports, including quality scores and transcription results. Ideal for use cases where optimizing voice call center audio quality and accuracy is crucial.

Canonical page: https://skillsregistry.net/skills/reactiongears-tts-audio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/reactiongears-tts-audio-mcp

## Description

MCP server that analyzes TTS audio recordings, providing transcription, quality scoring, pacing analysis, and mispronunciation detection to debug voice call center audio.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tvm2lbgtwu)
- **Repository:** <https://github.com/reactiongears/tts-audio-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": "reactiongears-tts-audio-mcp"
    }
  }
}
```

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