"Sort Content by Number of Downloads" matching MCP servers:

MCP server that lets Claude use your Mac — native apps and the browser — by remembering what it has seen instead of screenshotting every step.

Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.

Enables AI agents to query Windows process, window, and console information via structured JSON instead of screenshots, reducing token usage by 94-98%.

Enables AI assistants to control Windows PCs by executing shell commands, managing files, capturing screenshots, and monitoring system information through a comprehensive set of MCP tools.

Gives an LLM agent control of the macOS desktop from a single self-contained Rust binary: Set-of-Mark numbered screenshots, Accessibility-tree clicks with browser-JS fallback for web content, Apple Vision OCR, mouse, keyboard, and clipboard.

Enables full control of macOS by executing AppleScript commands through an MCP server, allowing automation of tasks, application control, and system management.

Enables management of Palo Alto firewalls through their REST API, including system information retrieval, PAN-OS upgrades, HA firewall management via Panorama, content updates, and certificate management.

Facilitates robotic movement control by providing functions that enable precise manipulation of linear and angular velocities through natural language commands, compatible with both ROS and ROS2.

Control the MetaDock desktop workspace over MCP: browsers, layouts, bookmarks, downloads, and more.

Enables high-speed native macOS automation for Claude by interacting directly with the Accessibility API, AppleScript, and UI trees instead of using screenshots. It allows users to read app states, click elements, and type text semantically across any macOS application.

Enables programmatic control of the WezTerm terminal emulator through the Model Context Protocol. It allows users to manage panes, tabs, and windows while reading terminal content or sending commands directly to the terminal environment.

Enables secure, deny-by-default automation of Windows windows with per-action permissions, allowing observation, clicking, typing, and dragging on approved applications while verifying target identity and focus at runtime.

Provides AI assistants access to the macOS clipboard content, supporting text, images, and binary data via OSAScript.

Launch Windows applications by name, alias, or path via MCP, supporting arguments and working directories. Uses Task Scheduler to detach launched processes so they persist independently of the MCP server.

Enables an AI client to inspect and control an interactive Windows desktop, including screenshots, mouse and keyboard input, Windows UI Automation, PowerShell commands with managed jobs, and authenticated file uploads/downloads. Connects over remote MCP Streamable HTTP or local stdio without a separate host-side gateway.

Enables AI coding agents to automate Windows desktop applications through semantic UI Automation instead of brittle coordinate clicks, with tools for discovering windows, finding controls by stable identifiers, and verifying actions.

Enables Claude to capture and analyze screen content across Windows, macOS, and Linux with zero native runtime dependencies.

Automatic operation of on-screen GUI.

Enables comprehensive Windows process and service management with secure UAC elevation. Supports discovery, inspection, and control of processes by name, PID, or port number, with both AI-assisted and direct command-line interfaces.

A production-grade server for programmatically controlling kitty terminal instances, allowing users to launch windows, send text or key combinations, and capture scrollback buffer content. It facilitates automation workflows and command analysis by providing remote control over the kitty terminal through the Model Context Protocol.