"Creating an MCP Server Using an API" matching MCP servers:

Enables seamless integration with Typecast API through the Model Context Protocol, allowing clients to manage voices, convert text to speech, and play audio in a standardized way.

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.

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

Enables any MCP-compatible client to perform local voice cloning and text-to-speech using OmniVoice, including voice profile management, voice design, and an optional ASMR post-processing DSP pipeline.

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.

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.

Enables text-to-speech conversion using ElevenLabs API with voice management, streaming support, and multiple models.

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.

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.

Enables natural language-driven speech synthesis using Fish Audio's Text-to-Speech API, supporting multiple voices, streaming, and flexible configuration.

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.

A PowerShell-based MCP server that enables Claude Desktop to convert text to speech using Windows' built-in Speech API, offering features like playback control, speed and volume adjustment.

This server enables AI models to send SMS messages and initiate Text-to-Speech calls programmatically using ClickSend's API with built-in rate limiting and input validation.

Provides VOICEVOX text-to-speech as an MCP tool. Requires a running VOICEVOX engine on localhost.

An MCP server that exposes speech-to-text and text-to-speech capabilities using a local speaches instance, allowing AI assistants to transcribe audio and generate speech.

An MCP server that lets an AI assistant turn written text — or prose it writes itself — into narrated audiobooks with chapter-marked .m4b files, using local Kokoro voices entirely offline and free. It supports 54 voices across 9 languages, adjustable speed, voice blending, and chapter-level resumable rendering.

Enables AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.

Local Korean text-to-speech MCP server using a fine-tuned CosyVoice2 model, enabling voice synthesis directly from Claude or Codex with privacy and no API costs.

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.

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

Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.

Enables coding agents to hold spoken conversations by exposing speech-to-text and text-to-speech tools over MCP, routing them to a local daemon that drives a Chrome window using on-device speech recognition and Piper synthesis. It supports listening, speaking, and reading files aloud within a Claude Code plugin or an MCP gateway.

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.

Automated short-form video creation from text prompts, combining text-to-speech, captions, background videos, and music, exposed as an MCP server for AI agents.

Official MCP server that enables interaction with ElevenLabs Text to Speech and audio processing APIs. It allows generating speech, cloning voices, transcribing audio, and creating sound effects through natural 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.

An MCP server for AI voice synthesis with an inline audio player, allowing users to give their AI assistant a custom cloned voice using DashScope or ElevenLabs.

Enables an AI client to write, queue, convert, and monitor markdown podcast scripts into spoken-word audio locally using the same configured folders and environment.

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

Enables AI assistants to synthesize speech in a custom cloned voice and present it through an inline audio player with waveform visualization and transcript toggle.