"SQL-Based Technologies or Concepts" matching MCP servers:

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.

Enables AI agents to capture and analyze screenshots of macOS applications, windows, or the entire screen using local (Ollama) or cloud-based AI vision models, with non-intrusive, fast screen capture via Apple's ScreenCaptureKit.

Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.

Enables MCP clients to access a local computer through a controlled, permission-based tool surface for read-only or developer-mode file, process, and terminal operations.

An MCP server that enables remote observation and control of a Chromium browser via a WebSocket relay, supporting DOM, CDP, and native OS automation for local or LAN-based AI agents.

Enables secure SSH connections to remote servers for executing shell commands and managing active sessions. It supports authentication via passwords or private keys and provides optional host-based access control.

Enables AI agents to interact with IBM i systems through SQL tools and commands, supporting secure authentication, system monitoring, and database operations via the Model Context Protocol.

Enables interaction with Redfish-compliant BMC devices for server management, firmware updates, and hardware monitoring through session-based authentication and standardized API endpoints.

Enables AI agents to view and control the local desktop through browser-based viewport and MCP tools.

Provides auto-scalable management with priority-based scheduling for everyday use.

Enables AI agents to semantically discover and operate Windows dialogs — waiting for, listing, describing and reading dialog controls, clicking buttons by Chinese/English labels, filling fields, and completing Save As, Open and MessageBox flows, with UIA fallback for non-standard WPF/WinUI/Electron dialogs. Actions are intent-based rather than coordinate-based, with configurable timeouts and text hashed in logs for privacy.

Provides accurate time information from Network Time Protocol (NTP) servers with timezone support and security filtering. Features whitelist-based server approval, blocks unauthorized sources, and delivers structured time output with fallback mechanisms.

Enables MCP agents to control macOS natively with shell, PTY, background Chrome automation, and Accessibility-based desktop control.

Enables an AI agent to manage local development environments over MCP by starting, stopping, and restarting applications and processes, reading logs with cursors, and inspecting or freeing listening ports. Exposes a fixed set of id- and port-based tools, so the agent can operate registered processes without running arbitrary commands.

Enables AI agents to see and control Android devices over ADB and scrcpy, with image-returning screenshots, taps, swipes, typing, app and file management, UI element inspection, shell commands, and video/audio streaming or recording. It offers fast scrcpy-based input and screenshots with automatic ADB fallback so tools keep working when scrcpy isn't available.

An ultra-fast native MCP server for macOS desktop automation, enabling visual OCR, text-based clicking, window management, and keyboard/mouse control without hijacking the physical cursor.

A local MCP server that provides a secure bridge for automating macOS applications like Notes, Calendar, and Mail through AppleScript. It uses template-based execution and policy-based allowlists to enable safe, structured interaction with system tools.

A secure, constraint-based macOS OS-level automation MCP server for AI assistants.

Enables MCP agents to drive Windows applications by targeting individual windows—clicking, typing, scrolling, dragging, and reading accessibility trees or screenshots—without stealing the user's focus, mouse, or keyboard. Runs entirely locally alongside the user, with per-app approval and no cloud account or usage limits.

Enables AI agents to control Windows systems using AutoHotkey v2 and the UI Automation accessibility tree for efficient, text-based computer interaction. It provides tools for window management, keystrokes, and UI inspection while significantly reducing token costs compared to screenshot-based approaches.