VOICEROID Daemon
A text-to-speech server for VOICEROID2 via the voiceroid_daemon.
voiceroid_daemon-mcp
MCP (Model Context Protocol) server for VOICEROID2 text-to-speech via voiceroid_daemon.
Features
- Text-to-speech generation with VOICEROID2 voices
- Text-to-kana phonetic conversion
- Customizable voice parameters (volume, speed, pitch, emphasis)
- Audio playback support for macOS, Windows, and Linux
- Basic authentication support
Prerequisites
- Node.js 18 or higher
- voiceroid_daemon running on your system
- VOICEROID2 installed (for voiceroid_daemon)
Installation
# Clone the repository
git clone https://github.com/mohemohe/voiceroid_daemon-mcp.git
cd voiceroid_daemon-mcp
# Install dependencies
npm install
Configuration
Create a .env file in the project root (optional):
# voiceroid_daemon server URL (default: http://127.0.0.1:8080)
VOICEROID_DAEMON_URL=http://127.0.0.1:8080
# Basic authentication (if required)
VOICEROID_DAEMON_USERNAME=your_username
VOICEROID_DAEMON_PASSWORD=your_password
# Default voice parameters (optional)
VOICEROID_DEFAULT_VOLUME=1.0 # 0-2
VOICEROID_DEFAULT_SPEED=1.3 # 0.5-4
VOICEROID_DEFAULT_PITCH=1.0 # 0.5-2
VOICEROID_DEFAULT_EMPHASIS=1.1 # 0-2
VOICEROID_DEFAULT_PAUSE_MIDDLE=150 # 80-500
VOICEROID_DEFAULT_PAUSE_LONG=370 # 100-2000
VOICEROID_DEFAULT_PAUSE_SENTENCE=800 # 0-10000
Usage
Running the MCP Server
# Run directly with tsx (no build required)
npm start
# Or for development with auto-reload
npm run dev
Configuring with Claude Desktop
Add the following to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"voiceroid-daemon": {
"command": "npx",
"args": ["tsx", "/path/to/voiceroid_daemon-mcp/src/index.ts"],
"env": {
"VOICEROID_DAEMON_URL": "http://127.0.0.1:8080"
}
}
}
}
Available Tools
test_connection
Test the connection to voiceroid_daemon server.
No parameters required
convert_text
Convert Japanese text to phonetic kana reading.
Parameters:
text(string, required): Text to convert to kana
speak_text
Generate and play speech audio from text.
Parameters:
text(string, required): Text to speakkana(string, optional): Phonetic reading in kanavolume(number, optional): Voice volume (0-2, default: 1)speed(number, optional): Speech speed (0.5-4, default: 1)pitch(number, optional): Voice pitch (0.5-2, default: 1)emphasis(number, optional): Emphasis level (0-2, default: 1)
Example Usage in Claude
Once configured, you can use the tools in Claude:
Use the test_connection tool to check if voiceroid_daemon is running.
Convert "こんにちは" to kana using the convert_text tool.
Use speak_text to say "こんにちは、今日はいい天気ですね" with speed 1.2.
Troubleshooting
Connection Failed
- Ensure voiceroid_daemon is running
- Check the URL in your configuration
- Verify firewall settings allow connections
- Test with curl:
curl http://127.0.0.1:8080/
Audio Playback Issues
- macOS: Uses
afplay(built-in) - Windows: Uses PowerShell's
Media.SoundPlayer - Linux: Requires
aplay(usually part of alsa-utils)
Authentication Errors
If voiceroid_daemon requires authentication, ensure you've set:
VOICEROID_DAEMON_USERNAMEVOICEROID_DAEMON_PASSWORD
Development
# Type checking
npm run typecheck
# Linting
npm run lint
# Run in development mode
npm run dev
License
MIT
相關伺服器
Postproxy
Publish to multiple social networks with only one MCP
Telinfy MCP server
Send SMS, WhatsApp, and RCS messages programmatically with DLT compliance. Manage contacts, schedule campaigns, and track delivery reports.
Say MCP Server
A server for voice notifications using VoiceBox, with a fallback to the Mac 'say' command.
TikTok
TikTok integration for getting post details and video subtitles
MCP Telegram
Telegram MCP server with 20 tools — read chats, search messages, download media via MTProto
MCP WebSocket Server
A WebSocket server for handling mail operations.
Gmail
Search and delete emails in your Gmail account.
MCP IDE Bridge
An open-source messaging server for client-to-client communication using MCP HTTP Streamable messaging.
Fast Intercom
A high-performance MCP server for analyzing Intercom conversations, offering speeds up to 100x faster than the REST API.
Audio MCP Server
Provides audio input and output capabilities for AI assistants.