A Model Context Protocol server that provides screenshot capabilities for AI assistants, including window, region, and long screenshots across Windows, macOS, and Linux.
A small Model Context Protocol (MCP) server that gives an LLM eyes on your desktop without burning context. It can take one-off screenshots, crop a region around the mouse cursor, and run timed streaming sessions that save frames to disk and only return image bytes when explicitly asked.
MCP server for capturing screenshots of desktop windows on Windows. Allows AI assistants to see what's on screen for UI development, debugging, and iterating on designs.
A cross-platform MCP server that allows AI agents to capture screenshots of specific windows, displays, or regions for native application testing. It provides tools to list active windows and monitors, enabling precise visual verification and interaction during automated workflows.
Enterprise-grade screenshot capture server for AI agents with multi-format support, PII masking, multi-monitor support, and security controls for capturing full screens, specific windows, or custom regions across Linux, macOS, and Windows.
A macOS-based MCP server that allows for capturing screenshots of displays and windows, as well as recording window activity to MP4 files. It leverages a Swift CLI backend to interact with macOS CoreGraphics and AVFoundation APIs for seamless screen capture management.
Enables AI assistants running in WSL to capture Windows screenshots of full desktops, specific monitors, or individual windows by title or process name. It features DPI awareness, automatic path conversion between WSL and Windows, and customizable storage options.
Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.
A modern Model Context Protocol (MCP) Server for Windows Screenshots built with .NET 10. It simulates Print Screen functionality and enables AI assistants to capture screenshots.
A Model Context Protocol server that enables remote management of Android devices over WiFi, including taking screenshots, listing connected devices, and retrieving device information.
Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.
Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.
Give Claude Desktop full desktop control on Linux/X11: screenshot, mouse, keyboard, windows, clipboard, app launch. Zero-dependency MCP extension, MIT-licensed.