"Understanding Perl, Language Server Protocol (LSP), and Abstract Syntax Trees (AST)" matching MCP servers:

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.

macctl is an accessibility-first macOS desktop automation MCP server that lets AI clients see the screen, inspect app accessibility trees, control mouse/keyboard, manage windows, and run commands, all behind tiered permissions and audit logging.

Windows computer-use MCP server: accessibility-first element actions (UIA), UI read as diffed text trees instead of screenshots, guarded raw input, and a cross-session arbiter that yields to the human. 19 tools.

This server enables AI agents to operate Windows and Linux computers by observing the screen, understanding the UI through accessibility, OCR, and vision, and performing mouse, keyboard, window, clipboard, and system actions with verification and recovery.

Lets an MCP client observe accessibility/ARIA trees and act on macOS apps and a Playwright browser by element_index, and experimentally drive a real iPhone through iPhone Mirroring using OCR and normalized taps. Runs entirely on the local machine with no API key or telemetry.

A Model Context Protocol (MCP) SSH client server that provides autonomous SSH operations for GitHub Copilot and VS Code. Enable natural language SSH automation without manual prompts or GUI interactions.

A Model Context Protocol server that enables programmatic control of Moom window layouts on macOS through natural language commands in Claude Desktop.

Open-source computer use MCP server for macOS and Windows, including remote Windows over SSH. Reads accessibility/UI Automation trees and uses Jev for element selection and action verification, with optional screenshot localization for icons and game scenes.

Exposes Anthropic's computer-use action surface (screenshot, click, move, keyboard, clipboard, batch) against a persistent desktop display via MCP stdio protocol. Enables AI agents to control a virtual desktop environment through natural language instructions.

This Model Context Protocol server enables AI assistants to interact directly with Ansible, allowing them to execute playbooks, manage inventory, check syntax, and perform other Ansible operations.

Enables local TCP/UDP port and process inspection via MCP tools, including querying connections, checking port usage, listing processes, and terminating processes or process trees.

Node.js server implementing Model Context Protocol that enables interaction with TaskWarrior through natural language to view, filter, add, and complete tasks.

A Model Context Protocol server that enables natural language interactive control of Universal Robots collaborative robots, allowing users to control robot motion, monitor status, and execute programs through direct commands to large language models.

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.

Enables Windows GUI automation through the Model Context Protocol, providing tools, workflows, and generative capabilities for natural language-driven interaction with desktop applications.

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 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.

Lets an agent install, control, and repair dsh web as a Windows service so it auto-starts at boot, runs without a console window, and survives sign-out — covering service status, install/uninstall, start/stop/restart, and a side-effect-free install preview. It also tails service logs and translates them into plain-language diagnoses with fixes for failures like port conflicts, incompatible profile plugins, and plugin trees that fail to load.

Enables AI clients to see and control a Windows desktop through screenshots, built-in OCR, mouse and keyboard input, and accessibility trees read via UI Automation, MSAA and Chrome DevTools Protocol. It also manages windows, virtual desktops and element-level actions such as invoking controls or setting values, running on Node.js with the PowerShell that ships with Windows.

Enables local macOS computer use by letting agents click, type, and inspect accessibility trees without stealing focus, through an unofficial host for OpenAI Computer Use.

Enables MCP-capable AI agents to control Windows desktops through UI Automation element trees, native screenshots, app launching, batched action sequences, smart waits, and safety gates using normalized coordinates.

Enables MCP clients to observe Windows accessibility trees and deltas, generate fail-closed semantic action plans for external authorized executors, and control isolated, agent-owned Chrome tabs without accessing personal tabs.

Enables MCP clients to start and stop local read-only Windows 11 screen observation sessions, then inspect redacted screen state, UI trees, frames, and wait for changes, title matches, or idle periods through stdio tools.

Enables natural language interaction and management of pfSense firewalls through Claude and other GenAI applications using the Model Context Protocol. It provides advanced tools for firewall rule configuration, interface management, and intelligent log analysis via a REST API integration.

Enables AI agents to operate a complete Linux desktop through MCP, including applications, system windows, file managers, terminals, and browsers via AT-SPI element trees. It also provides noVNC access for humans to observe and take over the same desktop session.

Enables agents to inspect and control macOS applications through Accessibility trees, screenshots, and OCR. It supports clicks, typing, key presses, scrolling, drags, clipboard paste, window actions, and scripted actions via MCP.

Enables AI assistants to write, validate, debug, and execute AutoHotkey v2 scripts on Windows, with tools for syntax checking, script execution, active window inspection, library search, and live debugging via DBGp protocol.

Enables AI agents to observe and operate real desktops, mobile devices, and browser pages through screenshots, native accessibility trees, and web automation, including clicking, typing, hotkeys, and UI lookup across macOS, Linux, Windows, Android, and iOS.