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
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"VoiceStudio-MCP-server": {
"command": "uv",
"args": [
"run",
"src.main",
"--host",
"127.0.0.1",
"--port",
"8080",
"--debug"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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