"A calculation evaluating the expression 9999519 plus 9999490" matching MCP servers:

Enables decoding of acoustic signals such as fundamental frequency, speaking rate, jitter, and pause ratio together with semantic sentiment to infer high-dimensional emotional states and emit real-time expressive TTS prosody directives. It runs as a zero-dependency JSON-RPC 2.0 MCP server over stdio, exposing these capabilities as callable tools.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

A language expression coach MCP server that provides native-sounding translations with cultural context, tone notes, and audio pronunciation for over 13 languages.

Enables AI agents to ring or text a user's actual iPhone, read a question or update aloud, and return the spoken answer back to the agent as text. Calls and messages land in a single titled thread per agent, with tools for polling results, waiting for replies, and labeling conversations.

Enables local voice cloning and multi-take text-to-speech synthesis on Apple Silicon, plus audio/video transcription and subtitle generation, through Claude and other MCP clients.

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

Enables AI agents to generate and play GLaDOS-style text-to-speech through a shared local daemon, with one-voice-at-a-time coordination plus status and stop controls.

Enables DSH chat interfaces to display a draggable/zoomable Live2D mascot with TTS speech, expression/model/motion switching, and mood-based expression changes via MCP tools.

Enables creators to generate short-video voiceover scripts with platform-adapted hooks, key points, and closings, search a golden-quote library, split copy into subtitle lines with estimated timelines, get topic suggestions, and turn a topic into TTS audio plus SRT subtitles in one command. Runs fully locally and offline as part of a Chinese content-creation MCP suite.

Enables asynchronous Microsoft Edge text-to-speech synthesis over MCP stdio, producing MP3 or OGG/Opus audio with optional SRT/WebVTT subtitles and word-timing JSON, plus Docker deployment support.

Enables generating finished MP3 podcast audio from scripts using local TTS engines, with configurable voices and speech speed, plus text-to-speech and voice listing tools.

MCP server that enables AI agents to place real Telegram voice calls and speak a message aloud via TTS, with configurable repeats and call handling.

Enables coding agents to turn explanations of code, pull requests, or concepts into narrated slide walkthroughs voiced locally with Kokoro, returning a link that starts playing in about a second while the remaining slides are still being written. Slides are grounded in real files and git history, checked for errors, and exportable as static folders with captions.

Voice interface for Claude Code: you talk, the agent listens, codes, and talks back while it works. Live speech-to-text with turn-taking, Grok/xAI voices with per-subagent personas, and a real-time HUD dashboard.

Official Paxa Labs MCP server: Thai, English and Mandarin text-to-speech with local playback, voice design from a text description, speech-to-text with subtitles, translation into Thai, and document OCR with field extraction.

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

Enables progress-triggered text-to-speech in Cursor Agent, with speak and stop controls and voice matching the system UI language.

Enables spoken conversations with Claude on a Mac: Claude speaks through speakers, listens to the user's natural replies, and transcribes them locally. No audio leaves the computer, and it includes tools for voice setup and a hands-free voice mode.

MCP server for the Supertone TTS API. Generate natural speech, browse and preview the voice catalog, predict synthesis cost, and create cloned voices — directly from Claude Desktop, Cursor, or any MCP-compatible client. Supports Korean, English, Japanese, and 20+ other languages, with speed, pitch, and emotion-style control.

Enables MCP clients to synthesize text into speech locally and play it through the machine's audio, with selectable voices and playback speed.

Enables AI agents to speak using MacOS native text-to-speech, with support for blocking and non-blocking speech and a sequential queue.

Image, video, chat and text-to-speech models (GPT Image, Gemini Image, Veo, Kling, Seedance, Claude, GPT, Gemini) behind one API key. generate_image returns a preview the model can see, and review_image has a vision model critique the result and propose a corrected prompt, so an assistant can generate, check and fix images on its own.

Give your AI agent a voice with x402 pay-per-call speech synthesis, offering 20 voices, 10 personas, 31 languages, and granular controls.

Text to speech in 149 languages: MP3 links from any assistant. Free without an account. 2,253 voices; PRO adds HD voices, WAV, dialogue with a voice per speaker, Script mode timing and transcription.

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.

Enables MCP clients such as Claude Code, Cursor, and VS Code to generate speech through three MiMo TTS models: nine built-in voices (with singing and style/audio tags), voices designed purely from a text description, and voices cloned from a local mp3/wav sample. Audio is streamed and written only inside a sandboxed output directory, with non-overwriting filenames.

Enables text-to-speech synthesis through a streaming, GPU-accelerated gateway, exposing a single tool that returns playable WAV audio with configurable voice and speed.

A local MCP server that integrates Step Plan API for image generation and text-to-speech, allowing MCP-compatible clients like Codex to use these capabilities without switching models.

Exposes the canonical WordCast knowledge surface — voice and TTS workflows, blog topics, FAQ, official links — to MCP-compatible AI clients. Read-only, no API keys required.

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.