MCP Simple AivisSpeech

English | 日本語

🙏 Special Thanks
This project is based on mcp-simple-voicevox by @t09tanaka.
We deeply appreciate their excellent work in creating the original MCP server for VOICEVOX, which served as the foundation for this AivisSpeech adaptation.

A Model Context Protocol (MCP) server for seamless integration with AivisSpeech text-to-speech engine. This project enables AI assistants and applications to convert text to natural-sounding Japanese speech with customizable voice parameters.

✨ Features

• Text-to-Speech Conversion - High-quality Japanese speech synthesis using AivisSpeech

• Multiple Voice Characters - Support for various speakers and voice styles (default: Anneli ノーマル)

• Configurable Parameters - Adjust speed, pitch, volume, and intonation

• Cross-Platform Audio - Automatic audio playback on macOS, Windows, and Linux

• Task Notifications - Voice notifications for process completion

• Easy Integration - Simple MCP protocol for AI assistant integration

• Engine Status Monitoring - Real-time status checking of AivisSpeech engine

• Smart Error Handling - Helpful error messages with speaker suggestions

📋 Prerequisites

• Node.js - Version 18.0.0 or higher

• AivisSpeech Engine - Running on http://127.0.0.1:10101 (default port)

• Audio System - System audio capabilities for playback

MCP Simple AivisSpeech Configuration

Using Claude Code

When using Claude Code, start the MCP server manually before using it.

Using npx ensures you always get the latest version automatically. No manual updates needed.

1. Start the AivisSpeech MCP server manually in a separate terminal from the one where you're using Claude Code

2. Register the MCP server with Claude Code

By default, the server is added to the local scope (current project only). To make it available across all projects, use the -s user option:

You can also add voice notifications to your CLAUDE.md file to automate task completion notifications:

3. Verify the tools are recognized

If aivisspeech is displayed, the setup was successful.

💡 Tip: Claude Code doesn't auto-execute commands for safety. If you forget to start the server, the tools won't appear. During development, keep the above npx command running in a terminal, or use process managers like pm2 or systemd --user for persistent operation.

Using Claude Desktop

For manual configuration with Claude Desktop, you can simply add the following configuration:

Using npx ensures you always get the latest version automatically. No manual updates needed.

⚙️ AivisSpeech Engine Setup

Before using this MCP server, complete these setup steps to ensure AivisSpeech is running locally.

1. Download AivisSpeech from https://aivis-project.com/

2. Launch AivisSpeech on your local machine

3. The engine will start on the default port 10101

4. Verify the engine is running by visiting http://127.0.0.1:10101/docs

📖 Other Usage Methods

For Local Development

For cloning the repository, installing dependencies, and building:

🛠️ Available Tools

🎤 speak

Convert text to speech and play audio with customizable voice parameters.

This tool accepts several configuration parameters, including the following options:

• text (required): Text to convert to speech

• speaker (optional): Speaker/voice ID (default: 888753760 - Anneli ノーマル)

• speedScale (optional): Speech speed multiplier (0.5-2.0, default: 1.0)

• pitchScale (optional): Pitch adjustment (-0.15-0.15, default: 0.0)

• volumeScale (optional): Volume level (0.0-2.0, default: 1.0)

• playAudio (optional): Whether to play the generated audio (default: true)

Example usage:

👥 get_speakers

Retrieve a list of all available voice characters and their styles.

This function returns: List of speakers with their IDs, names, and available voice styles.

🔔 notify_completion

Play a voice notification when tasks are completed.

This tool accepts several configuration parameters, including the following options:

• message (optional): Completion message to announce (default: "処理が完了しました")

• speaker (optional): Speaker ID for the notification voice (default: 888753760 - Anneli ノーマル)

Example usage:

📊 check_engine_status

Check the current status and version of the AivisSpeech engine.

This function returns: Engine status, version information, and connectivity details.

🖥️ Platform Support

Audio Playback Systems

Tested Environments

• macOS 12+ (Intel & Apple Silicon)

• Windows 10/11

• Ubuntu 20.04+

• Node.js 18.x, 20.x, 21.x

🧪 Development

Available Scripts

Local vs NPX Usage

When using MCP clients in production, use npx @shinshin86/mcp-simple-aivisspeech@latest in your MCP configuration. No local setup is required, and you always get the latest version.

For development, clone the repository and use npm run dev for hot reload, or npm run build && npm start for testing production builds.

Project Architecture

API Client Architecture

The AivisSpeechClient class offers comprehensive functionality, providing several key capabilities:

• HTTP Client - Axios-based API communication

• Error Handling - Comprehensive error catching and reporting

• Type Safety - Full TypeScript interfaces for all API responses

• Connection Management - Health checks and status monitoring

Adding New Features

1. New Tool: Add handler in src/index.ts CallToolRequestSchema

2. API Methods: Extend AivisSpeechClient class

3. Types: Update interfaces in aivisspeech-client.ts

4. Tests: Add corresponding test cases

🔧 Troubleshooting

Common Issues

AivisSpeech Engine Not Found

Consider these troubleshooting approaches to resolve this issue: Ensure AivisSpeech Engine is running on the correct port.

Audio Playback Fails

Consider these troubleshooting approaches to resolve this issue:

• macOS - Check if afplay is available

• Linux - Install ALSA utils (sudo apt install alsa-utils)

• Windows - Ensure PowerShell execution policy allows scripts

Permission Denied

Consider these troubleshooting approaches to resolve this issue: Check file permissions and system audio settings.

Debug Mode

To enable verbose logging, run the following command:

📄 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

🤝 Contributing

We welcome contributions from the community. Contributors can get started by completing these essential steps:

1. Fork the repository

2. Create a feature branch (git checkout -b feature/amazing-feature)

3. Commit your changes (git commit -m 'Add amazing feature')

4. Push to the branch (git push origin feature/amazing-feature)

5. Open a Pull Request

Development Guidelines

• Follow existing TypeScript/ESLint configurations

• Add tests for new functionality

• Update documentation for API changes

• Ensure cross-platform compatibility

🙏 Acknowledgments

• AivisSpeech Project for the excellent TTS engine

• Model Context Protocol for the integration framework

• VOICEVOX MCP for inspiration and reference

📞 Support

• Issues - GitHub Issues

• Discussions - GitHub Discussions

• Documentation - AivisSpeech API Docs

Made with ❤️ for the Japanese TTS community