"An exploration of the term 'multimodal' and its applications" matching MCP servers:

Enables AI assistants to generate images, text, and audio content through the Pollinations APIs. Provides direct access to multimodal generation capabilities including image creation from text prompts, text-to-speech, and text generation.

Provides text-to-speech capabilities through the Model Context Protocol, allowing applications to easily integrate speech synthesis with customizable voices, adjustable speech speed, and cross-platform audio playback support.

MCP server for MiniMax's multimodal generation models, enabling text-to-speech, voice cloning, image, video, and music creation through natural language.

Enables MCP-compatible agents to control a desktop mascot by switching its appearance and voice, showing speech-bubble dialogue, and managing state such as affinity.

Enables AI agents to access local voice synthesis, zero-shot cloning, and voice catalog tools through native MCP tool calls for applications like Claude and Cursor.

Lets Claude convert its replies into natural spoken scripts and play them with pause, resume, and rewind controls, plus voice and engine selection.

Enables AI agents and applications to send audio notifications with text-to-speech, message streaming, agent-to-agent conversations, and web push notifications through a persistent message store and MCP integration.

An MCP server that provides ElevenLabs text-to-speech as a Leo provider package, enabling text synthesis to base64 audio and voice listing through the Leo speech pipeline.

An MCP server that provides text-to-speech, speech-to-text, and voice management via ElevenLabs API.

An MCP server that lets AI assistants send spoken audio notifications using high-quality AI voices, so you don't have to stare at the screen waiting for long tasks to finish.

An MCP server that makes AI agents speak a brief summary of every response out loud using TTS.

An MCP server that wraps the WellSaid Labs text-to-speech API, enabling Claude to generate lifelike voiceovers with voice selection, prosody control, and caption support directly from text.

Provides text-to-speech and Telegram notification capabilities via the Model Context Protocol. Supports multiple TTS providers and Telegram messaging with optional setup web interface.

Provides speech recognition (STT) and synthesis (TTS) tools via the Sber SaluteSpeech API, enabling audio transcription and voice generation through natural language.

Enables AI agents to generate speech, transcribe audio, and manage voices via the Vocea API.

Provides high-quality text-to-speech synthesis with 10 natural voices, emotion control, and dynamic pacing for professional applications requiring expressive speech output.

An MCP server that enables LLMs to generate spoken audio from text using OpenAI's Text-to-Speech API, supporting various voices, models, and audio formats.

An MCP server that enables text-to-speech generation and phonetic kana conversion using VOICEROID2 via voiceroid_daemon. It supports customizable voice parameters and provides cross-platform audio playback for synthesized speech.

Enables text-to-speech functionality on macOS using the say command, offering extensive control over speech parameters like voice, rate, volume, and pitch for a customizable auditory experience.

An MCP server that enables LLMs to access the NijiVoice API for text-to-speech generation, supporting features like fetching available voice actors and checking credit balance.