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Kokoro Tts MCP Server

@mberg

リポジトリ

基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

mberg

Kokoro Tts MCP Server について

Kokoro Text to Speech (TTS) MCP Server

Kokoro Tts MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "kokoro-tts-mcp": {
      "command": "python",
      "args": [
        "mcp_client.py",
        "--text",
        "Hello, world!"
      ]
    }
  }
}

Kokoro Tts MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Kokoro Tts Mcp?

Kokoro Tts Mcp is a Model Context Protocol server that converts text to speech using the Kokoro TTS model. It generates .mp3 files that can be stored locally and optionally uploaded to Amazon S3. It is designed for developers who need programmatic TTS generation as part of an AI agent or automation pipeline.

How to use Kokoro Tts Mcp?

Clone the repository, download the Kokoro ONNX weights (kokoro-v1.0.onnx and voices-v1.0.bin), and install ffmpeg. Add the MCP configuration with required environment variables, then run uv run mcp-tts.py. Use the included client script mcp_client.py with --text or --file to send TTS requests.

Key features of Kokoro Tts Mcp

  • Generates .mp3 files from text input
  • Optional S3 upload for cloud storage
  • Configurable voice, speed, and language
  • Local MP3 retention and automatic cleanup
  • Supports text input from file or argument
  • Works with the Kokoro TTS model (ONNX)

Use cases of Kokoro Tts Mcp

  • Generate audio narration from text content
  • Automate voiceover creation for applications
  • Store TTS output in S3 for scalable access
  • Integrate TTS into AI agent conversations

よくある質問

1

What dependencies are required to run the server?

Python with `uv`, ffmpeg (for .wav to .mp3 conversion), and the Kokoro ONNX model weights. The recommended install method is `uv run`.

2

How do I configure Amazon S3 uploads?

Set the environment variables `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_S3_BUCKET_NAME`, `AWS_S3_REGION`, and `AWS_S3_FOLDER`. Enable S3 with `S3_ENABLED=true`.

3

How can I change the voice used for TTS?

Set the `TTS_VOICE` environment variable (default `af_heart`) or use the `--voice` flag when calling `mcp_client.py`.

4

Where are generated MP3 files stored?

Locally in the folder specified by `MP3_FOLDER` (default is a `mp3` folder in the script directory). They can also be uploaded to S3 if `S3_ENABLED` is true.

5

Can I disable S3 upload without changing environment variables?

Yes. Pass the `--no-s3` flag to `mcp_client.py` to disable S3 upload for that request. You can also set `S3_ENABLED` to `false` in the environment.

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