"Information about modal concepts or elements" matching MCP servers:

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.

MCP server for managing Karabiner-Elements keyboard remapping rules on macOS, enabling LLMs to search key codes, list/add/edit/remove/toggle rules, and switch profiles through natural language.

Provides AI agents with real-time ground truth about what's actually running on the machine, including live agent sessions, listening TCP ports, loaded daemons, and system stats. It reads directly from the OS via fixed commands, ensuring agents never rely on stale docs or transcripts.

Playwright for the entire OS. Give AI agents eyes and hands on any desktop app — find, click, type, and read UI elements across Linux, macOS, and Windows.

Windows desktop automation MCP server enabling screenshot capture, precise visual locating of UI elements via vision models, and automated mouse clicking.

Provides timezone-aware date and time information with configurable time formats and timezone support. Enables users to get current date and time in their preferred timezone and format through simple MCP tools.

Enables AI agents to observe and operate a real Windows or Linux desktop like a human — snapshotting screen geometry, active window, OCR text and normalized UI elements, then clicking, typing, scrolling and managing windows with built-in verification and recovery. Backends are chosen automatically per action (UIA/AT-SPI → OCR → vision → PyAutoGUI), so browsers, IDEs, office suites and canvas apps are all controllable without any browser-automation MCP.

Provides Ubuntu system information (CPU, memory, disk, network, services, processes) to Bob via natural language queries.

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Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.

Enables comprehensive control over macOS GUI elements including mouse, keyboard, window management, and screen capture. It allows for automated system interactions and script execution while maintaining safety by blocking potentially destructive deletion commands.

Enables any MCP assistant to see and operate an Android phone or emulator over plain adb, reading the accessibility tree to tap elements by name and also supporting screenshots, typing, swiping, app launching and installation, and logcat — with nothing installed on the device and no root required.

Enables AI agents to observe and control local browsers and desktop applications over MCP, including reading UI elements and differences, capturing images, and performing permitted clicks, typing, selections, scrolling, and multi-window operations.

A Model Context Protocol (MCP) server that provides information about installed applications on your computer, support MacOS and Windows.

MCP server for Android emulator automation via ADB.

Enables GUI automation for controlling PIX4Dmatic on Windows through MCP. Supports launching, focusing, capturing screenshots, sending hotkeys, clicking UI elements, opening projects, starting processing, and checking outputs.

Enables agent-native desktop control by driving mouse, keyboard, and interface elements through accessibility-first semantic operations, with fallback to screen coordinates when accessibility cannot reach a target.

Exposes Android device automation tools to MCP clients, letting AI agents inspect UI trees, interact with elements, launch/stop apps, run shell commands, transfer files, and manage events/tasks over adb/uiautomator2 without installing anything on the device.

A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.

A read-only MCP server that lets local AI agents inspect open Mac windows, browser tabs, PDFs, clipboard contents, Finder selections, and Messages history so they can answer questions about what the user is currently viewing.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling them to capture screenshots, tap, swipe, type, launch and manage apps, inspect UI elements, stream audio and video, transfer files, and run shell commands. Input and screenshots run over a fast binary control protocol when a session is active, with ADB fallback so interaction keeps working without scrcpy.

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 AI hosts to drive cross-platform desktop GUI automation and browser control, providing tools to read, click, type, send shortcuts, screenshot, and verify GUI elements and web pages.

Enables AI agents to see, find, and click real UI elements on Windows with sub-pixel accuracy across mixed-DPI multi-monitor setups, even in apps that expose no accessibility tree, by routing requests across Win32, UIA, OCR, and pixel/template backends. Also provides window control, clipboard and recipe-driven automation, quiet clicks that avoid moving the cursor or changing focus, and built-in setup/diagnostic tooling for Claude Code, Claude Desktop, and Codex.

Enables control of an attached Android phone over ADB, including screenshots, taps, typing, key/chord input via a virtual HID keyboard, UI inspection, and device information without root.

Enables MCP clients to read any Windows window as text with coordinates, including control names, roles, clickability, and all on-screen text positions, so even models without vision can understand and act on the desktop. It is read-only, listing windows, finding elements by name, and waiting for text to appear, without clicking, typing, or stealing focus.

Enables AI assistants and MCP clients to control an auto-clicker, query cursor position, and locate UI elements via image matching or OCR text search.