# kokoro-tts-mcp

> kokoro-tts-mcp — scottschram-kokoro-tts-mcp. Use this tool when you need to generate high-quality text-to-speech outputs for various AI models like Claude, Chat, Cowork, and Codex, or for chat interfaces like ChatGPT. It takes text inputs from the command line or clipboard and produces audio outputs, leveraging the Mac Kokoro-82M model on Apple Silicon via MLX. Ideal for applications requiring voice-enabled interactions, it lazy-loads the ~600MB model for efficient subsequent requests.

Canonical page: https://skillsregistry.net/skills/scottschram-kokoro-tts-mcp  
JSON: https://api.skillsregistry.net/v1/skills/scottschram-kokoro-tts-mcp

## Description

MCP server for Mac Kokoro-82M text-to-speech on Apple Silicon via MLX. Gives Claude Code, Chat, Cowork and Codex a voice.  ChatGPT via a workaround.  Speaks command line and clipboard.  MCP Lazy-loads model (~600MB) for fast subsequent requests.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/scottschram/kokoro-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": "scottschram-kokoro-tts-mcp"
    }
  }
}
```

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