# quick-tts-mcp

> Use this tool when you need to convert text into spoken language, list available voices, or explore speech models. It solves problems such as generating audio from text, selecting suitable voices for applications, and discovering compatible speech models. The tool takes text input and returns audio output, making it ideal for use cases like audiobooks, voice assistants, or accessibility features.

Canonical page: https://skillsregistry.net/skills/diogoseca-quick-tts-mcp  
JSON: https://api.skillsregistry.net/v1/skills/diogoseca-quick-tts-mcp

## Description

Provides text-to-speech functionality using OpenAI's TTS API, enabling text-to-speech conversion, voice listing, and model listing.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rtjud4stv3)
- **Repository:** <https://github.com/diogoseca/quick-tts-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": "diogoseca-quick-tts-mcp"
    }
  }
}
```

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