"CTS" matching MCP servers:

Facilitates direct speech generation using Claude for multiple languages and emotions, integrating with a Zonos TTS setup via the Model Context Protocol.

Provides text-to-speech functionality using OpenAI's TTS API, enabling text-to-speech conversion, voice listing, and model listing.

Hosted text-to-speech MCP server for AI agents with 54 neural voices in 9 languages, including Brazilian Portuguese. Pay-per-use API, no GPU or subscriptions needed.

A lightweight MCP server that converts text to speech using MiniMax TTS API, exposing a generate_speech tool for AI to speak with customizable emotion, speed, and language.

A Model Context Protocol server that wraps Volcengine's Text-to-Speech API, allowing users to generate speech from text using natural language parameters for customizing voice type, emotion, and speed.

Adds text-to-speech capabilities to Cursor IDE, allowing your AI assistant to speak responses, summaries, and explanations out loud using OpenAI or ElevenLabs.

Enables AI assistants to convert text to speech using Microsoft Edge's Text-to-Speech service with customizable voice options, speech rate, volume, and pitch parameters.

Provides Text-to-Speech (TTS) functionality using Google TTS API, enabling audio generation, voice listing, and style templates via MCP.

An MCP server that converts text into lifelike speech using Microsoft Edge's Text-to-Speech service, supporting customizable voice, rate, volume, and pitch.

A Model Context Protocol server that integrates high-quality text-to-speech capabilities with Claude Desktop and other MCP-compatible clients, supporting multiple voice options and audio formats.

Text-to-speech MCP server using the Kokoro-82M model accelerated with MLX on Apple Silicon, enabling local Claude and Codex clients to speak text aloud and convert text to audio.

An OpenAI-compatible text-to-speech API server that enables voice cloning, long-form generation, and can be used as a Claude Code tool for speech synthesis.

Enables AI models to generate high-quality voice messages from text using the Piper TTS engine, with automatic model management and audio streaming.

A lightweight MCP server that provides offline text-to-speech via native OS speech engines. It allows AI assistants to speak task summaries instantly with no network calls.

A low-latency text-to-speech MCP server that uses local Kokoro GGUF inference via TTS.cpp, providing say, get_voices, and get_status tools for AI agents to synthesize speech and manage playback queues.

Local multilingual TTS (24 languages incl. Ukrainian) with zero-shot voice cloning, voice design, and speech editing via HTTP API and MCP server.

An MCP server that leverages the Microsoft Edge TTS service to provide high-quality text-to-speech capabilities across over 80 languages. It enables users to generate audio files, query available voices, and create subtitle files using natural language commands.

Provides text-to-speech capabilities using Google's Gemini TTS API with support for multiple voices, automatic chunking of long text, multi-speaker dialogue, and audio playback via Windows Media Player.

Enables Claude to speak text with an embedded audio player, supporting 54 voices, voice cloning, and playback controls, all running locally.

Exposes Stable Diffusion for text-to-image generation and GPT-SoVITS for text-to-speech synthesis as MCP tools, enabling image and audio generation via natural language.