What are the prerequisites for Kokoro MCP Server?
Python 3.10 or higher, uv package manager, Git, and Docker with Docker Compose. The Kokoro TTS engine is required for real mode but not for mock mode.
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基本信息
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Kokoro-MCP-Server": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Kokoro MCP Server is a Model Context Protocol server that integrates the Kokoro text-to-speech engine, allowing developers to build applications with TTS capabilities via MCP. It is designed for developers who need to incorporate speech synthesis into AI assistants or other services.
Clone the repository, install dependencies with uv and pip, and run the server with python src/main.py. For development without the Kokoro engine, set MOCK_TTS=true. Docker is also supported: use make up to start the container.
Python 3.10 or higher, uv package manager, Git, and Docker with Docker Compose. The Kokoro TTS engine is required for real mode but not for mock mode.
Set the environment variable `MOCK_TTS=true` before running the server. For example: `MOCK_TTS=true python src/main.py`.
Use the environment variables `OPENAI_API_KEY`, `CLAUDE_API_KEY`, `LOG_LEVEL`, `MOCK_TTS`, and `PORT` (default 8080) to customize the server’s behavior.
Run with `--log-level debug` and optionally `--log-requests` to log MCP requests and responses. You can also use Python’s `pdb` by adding `import pdb; pdb.set_trace()` in the code.
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