Voicevox MCP Server
V

Voicevox MCP Server

Voicevox MCP Server is a text-to-speech server compatible with VOICEVOX, enabling interaction with AivisSpeech, VOICEVOX, and COEIROINK through the MCP protocol, and supporting text-to-speech in Claude 3.7 proxy mode in editors like Cursor.
2.5 points
9.4K

What is Voicevox MCP Server?

This is a service that exposes text-to-speech engines such as VOICEVOX, AivisSpeech, and COEIROINK through the MCP protocol, allowing developers to implement AI voice interaction features in editors like Cursor.

How to use Voicevox MCP Server?

It can be accessed through simple HTTP interfaces or Docker containers, supporting Windows and WSL2 environments, and can be seamlessly integrated with the local VOICEVOX engine.

Use cases

Suitable for AI development scenarios that require voice interaction, such as: - Voice feedback for editor intelligent assistants - Prototype development of interactive voice applications - Integration of multimodal AI applications

Main Features

Multi-engine support
Compatible with multiple text-to-speech engines such as VOICEVOX, AivisSpeech, and COEIROINK
Cross-platform operation
Supports deployment in native Windows environments and WSL2 Docker containers
MCP protocol integration
Deeply integrated with editors/IDEs through the standard MCP protocol
Advantages
Out-of-the-box text-to-speech solution
Can be accessed in the existing VOICEVOX environment without complex configuration
Supports Docker containerized deployment
Limitations
Currently only supports Japanese text-to-speech
VLC player needs to be pre-installed in the Windows environment
Audio configuration in the Docker environment is relatively complex

How to Use

Environment Preparation
Install Node.js 18+ and VOICEVOX ENGINE, and ensure that the VLC player is installed and the PATH is configured
Clone the Repository
Get the latest version of the server code
Configure the Environment
Copy .env_example to .env and set the VOICEVOX API address and speaker ID
Start the Server
Compile and run the server

Usage Examples

Editor Integration
Configure mcp.json in the Cursor editor to implement AI voice feedback
Custom Speaker
Switch different voice styles through environment variables

Frequently Asked Questions

How to confirm that the VOICEVOX engine is correctly connected?
What if there is no sound in the Docker environment?
Can multiple text-to-speech engines be used simultaneously?

Related Resources

VOICEVOX Official Website
Official engine documentation and downloads
MCP Protocol Specification
Technical documentation for the Model Context Protocol
Example Configuration Repository
Source code and examples of this project

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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