"Information or resources about playwrights or the Playwright framework" matching MCP servers:

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.

Records a screen or region into a silent video, ingests timeline events from other tool servers, then synthesizes, aligns, and muxes narration with captions over the take.

Enables coding agents to participate in voice calls, speaking replies while continuing their work and accepting spoken input or interruptions within the same conversation. It delivers voice input into Claude Code, Codex, Cursor, or custom HTTP endpoint workflows.

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.

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.

Enables assistants to open scripts in a centered, multilingual reader with direct paste, locale-aware word tracking, manual sentence navigation, pause/auto-scroll, and optional browser or OpenAI speech recognition.

Enables MCP-compatible clients to generate images and videos, synthesize speech, and clone or design voices through MiniMax APIs, with configurable local or URL resource handling.

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.

Enables local Vietnamese ecommerce copy preparation, source-grounded RAG retrieval, offline voice previews, correction-memory feedback, hook review, and fine-tuning dataset preparation without publishing posts or approving audio.

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.

Enables AI agents to generate narrated videos from topics or scripts, with stock footage, home videos, or local AI clips.

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.

Bridges a running GPT-SoVITS API into MCP clients for local speech synthesis with reference-audio emotion mapping, dialogue WAV stitching, voice and status inspection, and bounded audio resource retrieval over stdio or Streamable HTTP.

Enables MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Enables Claude Code and Codex to play spoken alerts on a Mac when a task finishes or user attention is needed, using built-in or custom voice lines while staying quiet during keyboard use, calls, Focus modes, or configured locations.

Enables agents to control a transparent, always-on-top desktop character window over a loopback-only local HTTP API — applying expressions, motions, parameters and gaze, speaking via TTS or uploaded audio with lip-sync, capturing screenshots, and switching models, window placement and visibility. Everything stays local, so no cloud account or manual token handling is required.

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.

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.

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.

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.

Adds text-to-speech capabilities to Cursor IDE, allowing your AI assistant to speak responses, summaries, and explanations out loud using OpenAI or ElevenLabs.

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.

A stdio MCP server that lets AI coding tools on a Mac speak text aloud through the local Speaklna text-to-speech app. It exposes four tools (speak, stop, status, voices) so agents can voice replies, halt playback, check state, and list available voices, but cannot import voices or change settings.

Enables AI agents to search, rank, and retrieve 330 synthesized sound effects, themes, and spoken lines, and to generate ready-to-paste playback code or whole-app sound kits through a zero-dependency stdio MCP interface.

Enables macOS users to hear short spoken summaries of agent replies using the built-in say command, while keeping full details in the chat. Works with any MCP-compatible host and requires no cloud or API key.

Enables AI coding assistants to verbally announce task progress and events through local text-to-speech, with cloud synthesis via Volcano Engine or Edge TTS, scene-based voice settings, and a Windows SAPI fallback so announcements continue even when the cloud fails.

Enables AI clients to convert text into spoken MP3 audio by calling a local voice gateway that renders it with the Eleven v4 model and delivers the result to either a local web playback list or a fixed Telegram chat. It also returns short clips as inline MCP audio content blocks for clients that support embedded playback.

Provides local text-to-speech output to PC speakers, Telegram voice messages, or MP3 files, and transcribes voice messages locally or via cloud. Includes tools for checking playback status, stopping audio, and replying to Telegram messages.

Enables coding agents to generate local GPU-accelerated narration audio from text, with tools for speech generation, job continuation, and model or voice queries.