"Optical Character Recognition (OCR) Technology" matching MCP servers:

Provides screen capture and optical character recognition (OCR) capabilities for entire displays or specific application windows. It enables users to list running applications, take screenshots, and extract text from images using multi-language support.

Provides screenshot and OCR capabilities for macOS.

Provides an MCP server for local low-power screen vision, enabling AI agents to perform OCR and UI detection on inaccessible screens (games, remote desktops) using NPU acceleration and system OCR.

Enables AI agents to operate a real GNOME Wayland desktop through accessibility-tree widget actions, pointer/keyboard input, OCR, window management, and screen capture, optionally on a private headless session.

Enables AI assistants to search and retrieve encrypted local screen history, including OCR text, recent activity, context around moments, daily rollups, and screen snapshots.

Enables any AI agent to perceive and control a Windows desktop through live screen capture, OCR, and safety-gated mouse/keyboard actions via a local HTTP API and MCP.

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.

Cross-platform desktop automation MCP server that lets AI agents capture screenshots, run OCR with UI-element classification, control mouse/keyboard, and launch programs on Linux, macOS, and Windows.

Enables an agent to see and operate a GNOME Wayland desktop like a human, including screenshots, mouse/keyboard control, accessibility tree access, OCR, clipboard, and audio listening.

Enables screen capture, OCR text extraction, and automated clicking on macOS through MCP. Supports fullscreen, window, and region capture with optional text recognition and monitoring.

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.

MCP server for Windows computer use, providing low-token, low-latency automation through UIA/Win32, OCR, and vision. It enables batch actions, shortcuts, isolated desktop execution, and browser control via MCP tools.

Enables AI assistants to automate Hyprland desktop environments through screenshots, mouse/keyboard input, window management, workspaces, clipboard, app launching, and OCR.

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 AI assistants to control CleanShot X for screenshots, recordings, OCR, and annotations via natural language commands.

Empowers AI agents to see, reason, and control computers via VNC, providing advanced vision features like OCR and image search, human-like input control, and optional SSH remote command execution.

426+ MCP tools for macOS, all on-device — local AI inference (llama.cpp on Metal), voice, vision OCR, local RAG, browser automation, and ~140 system actions across 26 macOS domains. Nothing leaves your Mac.

An open-source MCP server for macOS and Windows that provides native desktop control via Accessibility APIs, OCR, and Chrome CDP. It enables AI agents to interact with applications, manage browser sessions, and automate workflows with high-speed native UI actions.

Enables AI agents to operate Windows computers with parallel, human-like input streams, including held keys, concurrent mouse/keyboard actions, UIA/OCR targeting, and a knowledge base for engineering software.

Enables pixel-accurate mouse control, full keyboard and Unicode typing, screenshot capture, and an OCR element tree with bounding boxes on a remote GLKVM/PiKVM target, driven over its HTTPS API with no agent installed on the machine. It also detects concurrent human input and offers opt-in USB mass-storage file push/pull.