40 boosters for "screenshot" — open source, verified from GitHub, ready to install
WinUse enables remote control of Windows desktops through a REST API, allowing AI assistants to automate Windows applications via screenshots, mouse/keyboard input, and window management. Developers working with Windows automation, testing, or computer-use scenarios will find this invaluable.
A macOS screenshot skill that captures application windows using ScreenCaptureKit, enabling Claude Code to document UI states and verify visual changes. Developers and users benefit from automated screenshot capture integrated into their coding workflow.
Enables AI coding agents to control and test Compose Desktop applications via HTTP, automating UI interactions like clicks, text entry, and screenshots. Developers building or testing Compose Desktop apps with AI assistance benefit most.
A Cursor rules booster that enables developers to build iOS apps for translating burned-in video subtitles using Vision OCR and Apple's translation API. Useful for developers working with multilingual video content and social media platforms like RedNote.
Memento helps users search their computer history—screenshots, keystrokes, and OCR text—to recall forgotten information and context from past activity. Developers and knowledge workers benefit from quick retrieval of previously seen or typed information.
brosh is a Cursor-integrated MCP server that enables AI assistants to capture full-page browser screenshots with scrolling support using Playwright. Developers using Claude in Cursor benefit from automated visual webpage inspection for debugging, testing, and content analysis.
Browser skill enables live Chrome automation within Factory CLI for web browsing, interaction, data extraction, and screenshots using natural language commands. Developers building automated workflows, web scraping pipelines, or testing scenarios will find this essential for programmatic browser control.
Peepit MCP Server enables AI agents to capture and analyze macOS screenshots with smart window targeting and AI-powered image analysis, solving the critical problem of giving Claude visual perception of the desktop environment.
Pixel is an image optimization agent that compresses and converts visual assets (fish species photos, screenshots, hero images) to modern web formats for improved performance. It's useful for content-heavy websites, particularly those hosting product or nature photography.
Junipr MCP Server enables Claude to capture screenshots, extract PDFs, and retrieve metadata from web content through a standardized MCP interface. Developers and AI builders benefit from seamless integration of web-scraping capabilities into Claude-based applications.
This skill enables AI assistants to control a live Chrome browser session for web automation tasks like navigation, interaction, data extraction, and screenshots directly within Factory CLI workflows. Developers and AI agents benefit from live browser control for testing, scraping, and task automation without leaving the coding environment.
Heuristic scoring (no AI key configured).
"name": "pagebolt-mcp", "description": "MCP server for PageBolt — take screenshots, generate PDFs, create OG images, inspect pages, record demo videos with Audio Guide narration, from AI coding assistants like Claude, Cursor, and Windsurf.", "main": "src/index.mjs",
WinUse enables AI assistants to remotely control Windows desktops through screenshots, mouse/keyboard input, and window management via HTTP. Developers automating Windows workflows, testing Windows applications, or performing remote computer tasks will find this booster essential.
This booster enables AI coding assistants to control and interact with Compose Desktop applications through HTTP endpoints, allowing for automated UI testing and interaction during development. Developers building or testing Compose Desktop apps benefit from automated UI control capabilities.
A specialized MCP server that enables WebGL visual regression testing through automated screenshot comparison and canvas capture. Developers building WebGL applications can use this to catch rendering regressions across commits and environments.
