MCP server that provides AI coding agents with real-time visual access to web apps, enabling them to see screens, run accessibility and layout inspections, and interact with pages through a shared live panel.
A local MCP server that helps AI agents recover missing historical developer context by capturing and indexing screenshots with OCR and embeddings into a local SQLite database, enabling grounded question-answering with inspectable event citations.
An MCP server that uses headless Chromium (Puppeteer) to capture pixel-perfect screenshots and extract DOM from URLs, with LLM-friendly step-based workflows.
An MCP server that enables AI assistants to visually inspect and interact with rendered web pages via a persistent headless Chromium browser, supporting navigation, screenshots, clicks, viewport resizing, and console log retrieval.
MCP server that analyzes videos locally with frame-by-frame understanding and optional browser sidecars, producing structured context bundles for coding agents to fix bugs, add features, or build new functionality.
