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 capturing screenshots of web pages and local HTML files through a simple MCP tool interface using Puppeteer with configurable options for dimensions and output paths.
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.
A Model Context Protocol server that provides screenshot capabilities for AI assistants, including window, region, and long screenshots across Windows, macOS, and Linux.
Enables AI agents to capture any public URL as PNG, JPEG, or PDF via REST API or MCP tools, including screenshot capture, page description, and PDF rendering.
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 capturing screenshots and annotating images with boxes, arrows, text, highlights, and other shapes, plus editing features like blur, crop, and resize with flexible export options.
Provides tools to capture pixel-perfect website screenshots as images or PDF. Supports configurable viewport, full-page capture, CSS injection, and returns either viewable images or base64-encoded content.
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.