"Control applications in macOS" matching MCP servers:

macOS Notification MCP enables AI assistants to trigger native macOS sounds, visual notifications, and text-to-speech. Built for Claude and other AI models using the Model Context Protocol.

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

MCP server for text-to-speech using macOS say command, enabling speech synthesis, audio file generation, and voice management.

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 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.

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 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 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 MCP-compatible agents to control a desktop mascot by switching its appearance and voice, showing speech-bubble dialogue, and managing state such as affinity.

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.

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.

Enables AI agents and applications to send audio notifications with text-to-speech, message streaming, agent-to-agent conversations, and web push notifications through a persistent message store and MCP integration.

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.

Provides sound alerts, voice messages, and macOS notifications for Claude Code and other MCP-compatible AI assistants.

Enables generating spoken audio from text and retrieving available voice characters and styles through MCP tools on macOS.

A native macOS MCP server for voice input and output, allowing Claude to listen and speak with offline speech recognition and TTS.

Enables programmatic control of Yandex smart home from LLMs: text-to-speech on Alice speakers, batch reminders, device control, and complete scenario management.

MCP server for casting audiobooks from a local filesystem library to Google Cast speakers, with playback control and local TTS support.

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

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.