kokoro-tts-mcp-server
Model Context Protocol (MCP) server for Kokoro text-to-speech with female voice. 100% local, no Python required. Supports SSE and stdio transports.

MCP server for text-to-speech using Kokoro TTS
100% Local • No Python Required • Female Voice Default
Overview
A production-ready MCP server that provides text-to-speech capabilities using the Kokoro TTS model. Features a default female voice (af_heart) and runs 100% locally using native JavaScript, eliminating Python dependencies.
Built by Ross Technologies
📍 Beer Sheva, Israel | 📧 [email protected]
Features
✅ 100% Local - No external API calls, complete privacy
✅ Native JavaScript - Built with TypeScript and Node.js
✅ SSE & Stdio Support - Multiple transport modes
✅ NPX Ready - Run directly without installation
✅ Female Voice Default - Uses af_heart voice out of the box
✅ Auto Audio Playback - Automatically saves and plays generated audio
Quick Start
# Run with npx (no installation)
npx @ross_tchnologies/kokoro-tts-mcp-server
# Or install globally
npm install -g @ross_tchnologies/kokoro-tts-mcp-server
kokoro-tts-mcp
Installation
NPM
npm install @ross_tchnologies/kokoro-tts-mcp-server
NPX (No Installation)
npx @ross_tchnologies/kokoro-tts-mcp-server
Global Installation
npm install -g @ross_tchnologies/kokoro-tts-mcp-server
Visit Installation Guide for detailed instructions.
MCP Client Configuration
Add to your MCP configuration file (e.g., ~/.cursor/mcp.json):
{
"mcpServers": {
"kokoro-tts": {
"command": "npx",
"args": ["-y", "@ross_tchnologies/kokoro-tts-mcp-server"]
}
}
}
See Configuration Guide for more options.
Usage
Text to Speech Tool
{
"name": "text_to_speech",
"arguments": {
"text": "Hello, world!",
"voice": "af_heart", // optional, default
"speed": 1.0 // optional, default
}
}
Available Voices: af_heart (default), af_bella, af_sarah, and more.
See API Reference for complete documentation.
Documentation
Quick Links:
- 📖 Installation Guide
- 🚀 Getting Started
- ⚙️ Configuration
- 📖 API Reference
- 💻 Examples
- 🔧 Troubleshooting
- ❓ FAQ
- 🛠️ Development Guide
Requirements
- Node.js v18 or higher
- No Python or other external dependencies required! 🎉
Troubleshooting
- First run: Downloads ~300MB model (one-time, takes 2-5 minutes)
- Audio not playing: File is saved - check response message for location
- WSL users: Copy audio files to Windows Desktop for playback
See Troubleshooting Guide for detailed solutions.
Contributing
Contributions are welcome! See:
Links & Resources
- 📦 NPM Package - Install from npm
- 🐙 GitHub Repository - Source code and issues
- 📚 Documentation Wiki - Complete documentation
- 🐛 Report Issues - Bug reports and feature requests
- 💬 Discussions - Community discussions
- 🔗 Model Context Protocol - Learn about MCP
- 🔗 Kokoro TTS Model - Underlying TTS engine
License
MIT License - See LICENSE for details.
Copyright © 2025 Ross Technologies. All rights reserved.
Made with ❤️ by Ross Technologies
Похожие серверы
Slack Webhook
Post messages to Slack channels using incoming webhooks or bot tokens.
WhatsApp Cloned Voice Messages
Integrates WhatsApp and Minimax to send personalized voice messages using cloned voices.
MCP ChatGPT Proxy
A production-ready MCP server for ChatGPT and o3-pro, featuring caching, cost tracking, and rate limiting.
MyMCPSpace
Access and interact with MyMCPSpace posts, replies, likes, and feeds.
Gmail MCP Server
Send emails with attachments through Gmail's SMTP server using AI agents.
MCP Email Server
Manage emails using Gmail and IMAP protocols. Requires external configuration for credentials and settings.
MCP Chrome Feedback
Collects interactive user feedback, including text and images, through a Chrome extension with real-time communication and history management.
glin-profanity-mcp
Content moderation and profanity detection MCP server with 19 tools, 24 language support, leetspeak/Unicode obfuscation detection, context-aware analysis, batch processing, and user tracking for AI-powered content safety.
Wizzypedia MCP Server
Interact with Wizzypedia through the MediaWiki API, supporting both read-only and authenticated operations.
Prompt for User Input MCP Server
Enables AI models to prompt users for input directly within their code editor for interactive conversations.