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Voicevox MCP Server

@srvhat09

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

srvhat09

About Voicevox MCP Server

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

Voicevox MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "voicevox_mcp_light": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Voicevox MCP Server tools

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.

Overview

What is Voicevox MCP Server?

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.

How to use Voicevox MCP Server?

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).

Key features of Voicevox MCP Server

  • Converts text to speech audio queries
  • Converts audio queries to WAV data
  • Plays generated audio directly
  • MCP‑compliant JSON‑RPC over stdio interface
  • Configurable Voicevox Engine host, port, and speaker ID

Use cases of Voicevox MCP Server

  • Providing spoken responses from AI coding assistants (Cline, Cursor)
  • Reading aloud text generated by language models
  • Integrating text‑to‑speech into MCP‑compatible tools
  • Prototyping voice feedback in development environments

Frequently asked questions

1

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).

2

How does it handle English text?

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).

3

Which transport protocol does it use?

It uses JSON‑RPC over stdio, which is the standard MCP transport.

4

Is Claude Desktop supported?

Claude Desktop has not been tested yet.

5

What is the default speaker ID?

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.

Comments

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