What are the prerequisites?
Python 3.10 or higher is required, along with a running Voicevox Engine (local or remote). The recommended way to run the engine is via Docker (CPU or GPU image).
@srvhat09
基本信息
docker版 voicevox engine を利用し受け取るメッセージを音声再生するMCP Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"voicevox_mcp_light": {
"command": "uv",
"args": [
"sync"
]
}
}
}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。
Voicevox MCP Server is a Model Context Protocol (MCP) compliant server that uses the Voicevox Engine for speech synthesis. It converts text into audio and plays the result, providing endpoints callable from AI tools such as Cursor and Cline.
Install dependencies with uv sync, start the Voicevox Engine via Docker, then configure the server in your MCP client (e.g., Cline, Roo code) using the provided JSON settings. The server runs as a stdio-based MCP tool and can be invoked with synthesizeAndPlay(message="..."). Optional arguments include --host, --port, and --speaker (default speaker ID is 3).
Python 3.10 or higher is required, along with a running Voicevox Engine (local or remote). The recommended way to run the engine is via Docker (CPU or GPU image).
By default, English letters are spoken one character at a time. Workarounds include converting the text to katakana before input or using a custom dictionary (custom dictionary creation is not yet implemented).
It uses JSON‑RPC over stdio, which is the standard MCP transport.
Claude Desktop has not been tested yet.
The default speaker ID is 3. It can be changed with the `--speaker` option; a list of available speaker IDs is referenced from the Voicevox VVM repository.

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