How does it integrate with AI assistants and applications?

It uses the Model Context Protocol (MCP) for seamless integration with AI platforms like Claude Code and Claude Desktop, providing voice output for AI responses and task notifications.

Can I customize the synthesized voices?

Yes, it supports multiple voice characters and allows you to adjust parameters such as speech speed, pitch, and volume for personalized audio output.

What platforms does it support for audio playback?

It offers robust cross-platform audio playback capabilities on macOS, Windows, and Linux, ensuring broad compatibility for developers.

What are the prerequisites to use this tool?

You need Node.js (version 18.0.0 or higher) and the AivisSpeech engine running locally on your machine.

AivisSpeech

Name: AivisSpeech
Author: shinshin86

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Integrates the AivisSpeech text-to-speech engine with AI assistants and applications for natural Japanese speech synthesis.

This Model Context Protocol (MCP) server facilitates seamless integration with the AivisSpeech text-to-speech engine, enabling AI assistants and various applications to convert text into high-quality, natural-sounding Japanese speech. It supports multiple voice characters, offers customizable parameters like speed, pitch, and volume, and provides cross-platform audio playback. The server also includes features for real-time engine status monitoring and smart error handling, simplifying the process of adding sophisticated speech capabilities to your projects.

Key Features

01High-quality Japanese speech synthesis using AivisSpeech

02Support for multiple voice characters and customizable parameters (speed, pitch, volume)

03Cross-platform audio playback on macOS, Windows, and Linux

04Easy integration with AI assistants via the Model Context Protocol (MCP)

05Real-time AivisSpeech engine status monitoring and smart error handling

066 GitHub stars

Use Cases

01Empowering AI assistants like Claude Code with customizable Japanese voice output

02Automating voice notifications for task completion or critical events in AI-driven workflows

03Developing applications that require robust and natural Japanese text-to-speech capabilities