"Servers Offering MCP Prompts as Prompt Primitives" matching MCP servers:

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.

A Model Context Protocol server that provides text-to-speech capabilities using the Kokoro TTS model, offering multiple voice options and customizable speech parameters.

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.

Detects and removes 24 types of AI writing patterns, offering dual-mode humanization (rule-based and LLM-enhaced) with tools for detection, style transfer, scoring, and batch processing.

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.

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.

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.

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.

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 AI agents to perform local audio tasks such as speech synthesis, voice cloning, music and sound effect generation, and audio editing through MCP, with GPU models loaded on demand and released after idle.

Enables Claude Desktop and other MCP clients to generate images, videos, music, and audio using Fal.ai models. Supports text-to-image generation, video creation, music composition, text-to-speech, audio transcription, and image enhancement through natural language prompts.

Enables MCP-compatible LLMs to control Amazon Alexa devices by sending announcements, text commands, and SSML speech, as well as managing smart-home groups, routines, lists, volume, Do Not Disturb, and sensor queries.

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

Integrates Textwell with the Model Context Protocol for facilitating text operations such as writing and appending text through a GitHub Pages bridge.

Enables MCP clients such as Claude, Cursor and VS Code to synthesize speech locally in 31 languages, saving mp3, wav or ogg files, listing and installing catalog voices, and playing audio back through the system player — offline after the first run with no usage limits.

MCP server wrapping the ownvoice CLI as a single generic run tool for voice/identity checks.

Generates images, videos, and speech via Google Nano Banana, Veo, Omni, and Gemini TTS models with pay-as-you-go crypto payments, no subscription required.

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.

Enables MCP clients such as Claude Desktop, Cursor, and Cline to synthesize speech and singing with natural-language pitch and emotion tags, search and switch character voices and engine models, and transcribe audio through the Fish Audio API.

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.

Turns a plain-language request into a narrated vertical motion graphics video with natural voice, word-by-word synced animation, music and sound effects, rendered locally as an MP4 ready for Reels, TikTok and Shorts. Validates scripts and estimates OpenAI API cost before spending credits, and works inside MCP-capable assistants like Claude Code, Claude Desktop or Cursor.

A local MCP server that turns any text into narration, voice-overs, dialogues, audiobook chapters and per-shot video clips as MP3/WAV files — with emotions, acting modes, inline cues, presets and subtitles — driven by a ChatGPT sign-in rather than an API key. It also exposes tools for inspecting audio (timings, pace, pitch, waveform), transcribing recordings, listing and favouring voices, saving pronunciation presets, and checking sign-in status.

Connects MCP clients to the EngrAmo spaced-repetition flashcard platform so users can manage their cards and studies through natural language, with optional text-to-speech card audio generation via their own Gemini keys. It can be run locally over stdio with an API token or used as a hosted OAuth connector.

Enables Claude to act as an autonomous radio DJ, generating live-coded music with Strudel, making text-to-speech announcements, and responding to audience requests through a browser UI.

MCP server that lets AI agents drive VS Code as a coding tutor, highlighting ranges of code, narrating explanations aloud via TTS, and running scripted walkthroughs.

Enables users to generate speech, music, cloned voices, lyrics, and separated vocal/instrumental stems through 50+ audio model APIs from providers such as MiniMax, Suno, Mureka, Doubao, and Qwen TTS.

Enables AI agents to control Google AI Studio through a signed-in Chrome or Edge browser, including inspecting pages, entering prompts, operating visible controls, selecting models and settings, uploading context files, reading responses, and downloading media.

Enables agents to synthesize text with local IndexTTS zero-shot voice cloning and send the result as QQ voice messages through OneBot, with a health-check tool for service, model, and gateway status.