"How to interact with and read the browser tool console and DOM" matching MCP servers:

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

This MCP server enables Claude to speak summaries, announcements, and explanations aloud using text-to-speech — right from your terminal.

Enables text-to-speech conversion using Google Translate's TTS, supporting many languages and accents, and saving MP3 files.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

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.

Integrates ElevenLabs Text-to-Speech capabilities with Cursor through the Model Context Protocol, allowing users to convert text to speech with selectable voices within the Cursor editor.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

A server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.

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 MCP clients such as Claude to generate spoken audio locally, narrating English with Kokoro and Malayalam with IndicF5, Parler-TTS, Piper or MMS, including cloned Malayalam voices, pronunciation lexicons, and number/currency expansion. Outputs loudness-normalised WAV or MP3 and runs long narrations through a pollable job queue so tool calls never time out.

Enables MCP clients like Claude Desktop and Cursor to interact with MiniMax APIs for generating speech, cloning voices, creating videos, and generating images.

Turns a YAML script into a narrated product tour video: a real browser follows the steps with a guided focus, captions and text-to-speech, and renders an MP4. Agents can read the script format, validate a script, dry-run it against the real site and render the video.

A Node.js server that enables AI assistants to interact with Bouyomi-chan's text-to-speech functionality through Model Context Protocol (MCP), allowing for voice reading of text with adjustable parameters.

Remote MCP server wrapping the Bolna voice AI REST API, providing 11 tools (7 read, 4 write) for voice AI interactions.

Enables agents to speak text and read documents aloud on the user's computer, with tools for speaking, reading, stopping playback, and saving audio.

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.

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

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.

Exposes a local, hands-free voice room to any MCP client, letting agents read speaker-labelled conversation turns, wait for the next turn, list who is present, and speak aloud through local text-to-speech. Speech recognition, speaker identification and voice output all run on the user's own machine, so agents receive text with speaker names rather than audio.

Enables AI agents to access local voice synthesis, zero-shot cloning, and voice catalog tools through native MCP tool calls for applications like Claude and Cursor.

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.

Enables text-to-speech conversion using the Kokoro TTS model, running fully locally with native JavaScript. Supports multiple voices, speed control, and integrates with MCP-compatible clients.

MCP server for agent-driven video generation from SRT subtitles to Remotion videos, supporting TTS, async tasks, and web console.

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.

Official ElevenLabs Model Context Protocol server that enables AI assistants like Claude to interact with Text to Speech and audio processing APIs, allowing them to generate speech, clone voices, transcribe audio, and create soundscapes.

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.

Text-to-speech MCP server using the Kokoro-82M model accelerated with MLX on Apple Silicon, enabling local Claude and Codex clients to speak text aloud and convert text to audio.

Enables text-to-speech synthesis using VOICEVOX Web API with customizable speaker selection. Features a specialized tool for generating speech as Asuka Langley from Evangelion and provides access to available speaker lists.