"Deep Research on MCP (Master Control Program or Related Topic)" matching MCP servers:

Enables AI models to speak and sing using retro-style formant speech synthesis, converting text or phoneme strings to WAV audio via MCP tools.

A Model Context Protocol server for FlowSpeech text-to-speech. It lets MCP-compatible clients generate human-like audio with context-aware emotion control, pause control, multi-speaker dialogue, and 30+ available voices.

MCP server for Google's Gemini API, enabling text, image, video, speech, embeddings, and deep research capabilities through a single tool set.

A simple MCP server that can send notifications on mac devices.

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

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 enhanced server for ElevenLabs that enables high-quality text-to-speech, voice cloning, and multi-speaker dialogue management. It features advanced conversational tools for transcript retrieval, history tracking, and emotional audio synthesis using the v3 model.

MCP server that exposes OpenClaw Gateway tools to Claude Code and other MCP clients, enabling messaging, session management, scheduling, node control, web search, memory search, and TTS.

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.

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

Provides voice summaries after each AI request in Cursor, Cline, or any MCP-supported editor, allowing users to hear what was done and stay informed without staring at the screen.

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.

Enables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

A text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.

Enables AI assistants to synthesize speech with custom or cloned ElevenLabs voices and display an inline audio player with waveform visualization, transcript toggle, and dark mode support.

Exposes a single transcribe tool over streamable HTTP so containerised agents can send a media file name and receive text transcribed locally by MacWhisper on the host Mac's GPU, with token-gated access and no uploads or API keys. Callers place media in a configured directory, and the blocking call returns the finished transcript.

An MCP server that turns a script into a Hyperplexed-style motion-graphics MP4. Plug the URL into Claude Desktop, Cursor, or any MCP-compatible agent and it gains a render_video tool.

Local-first speech-to-text and text-to-speech MCP server. Hot-swappable engines via config.yaml — no code changes, no API keys required.

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.