"Exploring WhatsApp Integration Options" matching MCP servers:

A Node.js application that enables programmatic interaction with WhatsApp desktop on macOS, allowing users to send messages and check WhatsApp status through AppleScript automation without direct UI interaction.

Enables AI assistants to send desktop notifications on macOS with rich formatting, urgency levels, and sound options.

Enables AI assistants running in WSL to capture Windows screenshots of full desktops, specific monitors, or individual windows by title or process name. It features DPI awareness, automatic path conversion between WSL and Windows, and customizable storage options.

An MCP Server Integration with Apple Shortcuts

A Model Context Protocol server for macOS that enables AI assistants to play system sounds for audio feedback, offering informational, warning, and error sound options.

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

Enables MCP-capable applications to access, manage, and analyze system core dumps through integration with systemd-coredump functionality.

A Model Context Protocol (MCP) server for seamless integration with peripheral devices connected to your computer. Control, monitor, and manage hardware devices through a unified API.

Enables taking screenshots of the entire desktop or specific windows, with automatic clipboard integration and support for Windows, macOS, and Linux.

A Model Context Protocol server that provides tools to publish messages to ROS topics via rosbridge WebSocket, enabling integration between language models and ROS-based robotics systems.

jobd is a self-hostable, GPU-aware job broker that queues and routes shell commands across your own machines — picking workers by available VRAM and tool tags, streaming logs back, and surviving across sessions. It ships native MCP integration, so agents can submit, monitor, and control long-running or GPU jobs as tools.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

Enables debugging and automation of native Electron applications on macOS through DOM inspection, UI automation, global hotkeys, and Chrome DevTools Protocol integration.

Enables AI assistants to print documents, manage print queues, and control printers on macOS/Linux systems via the CUPS printing system. Supports printing PDFs, text files, and other formats with options like duplex printing, landscape orientation, and multiple copies.

Enables Claude Desktop and GitHub Copilot to interact with native macOS applications including Spotify, Apple Music, Notes, Calendar, FaceTime, and Contacts through natural language commands. Provides comprehensive control over music playback, note management, calendar events, video calls, and contact operations using AppleScript integration.

Enables interaction with macOS system features including file dialogs, clipboard management, Finder integration, and system notifications. It also provides tools for taking screenshots, processing images, managing PDFs, and interacting with the Apple Notes app.

A comprehensive MCP server with 30+ custom tools organized into categories: date/time operations, file management, system information, text processing, and web operations. Enables async communication with robust error handling and flexible CLI integration.

An MCP server that enables AI assistants like Claude to send native macOS notifications with tmux integration, allowing notifications to focus specific tmux sessions when clicked.

Provides native integration with Apple Reminders and Calendar on macOS, enabling full CRUD operations and smart task management through the Model Context Protocol. It allows users to search, create, and organize reminders and calendar events using natural language via the macOS EventKit framework.

Enables AI assistants to control Ubuntu desktops through screenshots, mouse clicks, and keyboard interactions using AT-SPI integration and computer vision. It features optimized element detection and workflow batching for fast and accurate visual interaction with desktop applications.