A Model Context Protocol server that provides screenshot capabilities for AI assistants, including window, region, and long screenshots across Windows, macOS, and Linux.
Captures screenshots and saves them to file paths specified by client applications, primarily designed to facilitate screenshot analysis by AI assistants running in WSL environments.
An MCP server that enables AI assistants like Claude Code to capture screenshots, view images, and manage screenshot files on Windows. It uses native Windows APIs for full-screen, region, or active-window captures, and supports image analysis and automated cleanup.
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.
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.
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.
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.
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.
Enables local MCP clients to capture screenshots of explicitly shared browser tabs without broad browser permissions. Prioritizes privacy by sharing only user-selected tabs, with automatic screenshot retrieval and no global tab access.
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.
Enables AI agents to capture screenshots of windows (e.g., WeChat developer tools) and save them locally, allowing the agent to read the image directly and close the code-change-to-review loop without OSS or network.
A reliable MCP server for taking screenshots with customizable timestamp overlays, region captures, and file management capabilities across macOS, Windows, and Linux.
An MCP server that captures screenshots of URLs or local app windows and analyzes them with a local Ollama vision model, enabling Claude to visually inspect web pages and desktop applications without sending image data externally.