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
Basic information
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
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"voicevox_mcp_light": {
"command": "uv",
"args": [
"sync"
]
}
}
}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.
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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