What dependencies are required?
Python 3.10+, `uv`, Git, Docker and Docker Compose. For real TTS, the Kokoro engine is needed; mock mode works without it.
@NewAITees
基本情報
概要はまだありません
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": {
"VoiceStudio-MCP-server": {
"command": "uv",
"args": [
"run",
"src.main",
"--host",
"127.0.0.1",
"--port",
"8080",
"--debug"
]
}
}
}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。
A Python‑based MCP server that provides text‑to‑speech synthesis using the Kokoro engine. It is designed for developers who want to integrate Japanese TTS capabilities into MCP‑compatible applications, or to build and test TTS workflows locally.
Clone the repository, set up a virtual environment with uv, install dependencies, and optionally configure Kokoro or use mock mode (MOCK_TTS=true). Start the server with python src/main.py; use --dev or --log-level debug for development. A Docker setup is also available via make build and make up.
Python 3.10+, `uv`, Git, Docker and Docker Compose. For real TTS, the Kokoro engine is needed; mock mode works without it.
Install PyOpenJTalk (`uv pip install pyopenjtalk`), MeCab, and fugashi with unidic‑lite/ipadic. On Windows, run `python mecab_windows_setup.py` to configure paths.
Yes. Set `MOCK_TTS=true` to use a simulation. This is useful for development or testing.
`OPENAI_API_KEY`, `CLAUDE_API_KEY`, `LOG_LEVEL`, `MOCK_TTS`, and `PORT` (default 8080).
Use `--log-level debug` (or env `LOG_LEVEL=DEBUG`). For request/response logging add `--log-requests`. Inside code, `pdb` breakpoints work. Docker logs are available via `docker logs kokoro-mcp-server`.

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