The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

MiniMax's official Model Context Protocol (MCP) server supports interactions with APIs such as text-to-speech, video/image generation.

MiniMax MCP JS is a MiniMax Model Context Protocol toolkit implemented in JavaScript/TypeScript, providing functions such as text-to-speech, image generation, video generation, and voice cloning, and supporting multiple configuration methods and transmission modes.

A simplified MCP server based on the Chatterbox TTS model, providing text-to-speech generation and automatic playback functions, supporting real-time progress notifications and automatic model loading.

The Zonos MCP integration project provides text-to-speech functionality for Claude, enabling direct voice generation through the Model Context Protocol, and supporting multi-language and emotional intonation settings.

This is an MCP server project based on Node.js. It integrates AI assistants with the Bouyomi-chan voice synthesis software through the Model Context Protocol to provide text-to-speech functionality.

An MCP server based on the ClickSend API, providing SMS sending and text-to-speech phone call functions, supporting programmatic operation of communication services with AI models.

The Smallest AI MCP Server is a production-grade ModelContextProtocol server designed for the Waves Text-to-Speech and Voice Cloning platform, providing a fast and secure AI voice workflow solution.

The Fish Audio MCP Server is a middleware that provides text-to-speech services. It achieves seamless integration with LLMs such as Claude through the Model Context Protocol, supporting multilingual, multi-tone, and real-time streaming audio generation.

A text-to-speech MCP server based on the Kokoro TTS model, providing high-quality speech synthesis services

This is an MCP server project based on Node.js. It integrates AI assistants with the Bouyomi-chan voice synthesis software through the Model Context Protocol, providing text-to-speech function and supporting parameter adjustment such as voice type, volume, and speed.