#screenshots

Local MCP server that gives AI agents eyes and hands on running Uno Platform apps. Agents can capture screenshots, inspect the visual tree, simulate pointer clicks, type text, send key presses, invoke automation peer actions, and query DataContext, enabling agentic UI development and testing across WebAssembly, iOS, Android, macOS, and Linux. Works with Visual Studio Copilot, VS Code, Claude Code, Codex, and any MCP-compatible agent

100-tool browser automation for AI agents via MCP. Screenshots, DOM inspection, network capture, form filling, cookie management, tab orchestration, session recording, and structured data extraction via Chrome extension. One-command setup: npx crawlio-browser init auto-configures 14 MCP clients.recording + 1 compiler) with framework-aware intelligence, typed evidence infrastructure, and confidence-tracked findings — captures what static crawlers can't see.

AI-generated help docs for your web app in minutes, not weeks. KodaDocs is a Claude Code MCP server that reads your codebase, captures screenshots with a headless browser, annotates UI elements, writes documentation articles, and assembles a complete VitePress help center. Supports Next.js, Django, React, SvelteKit, WordPress, and 15+ frameworks.

x402-native API gateway for AI agents. 20+ capabilities (web scraping, screenshots, search, email, translate) — pay-per-use in USDC, no API keys needed.

Opengraph.io MCP Server — Instant Link Metadata Extraction An MCP server that connects clients to the Opengraph.io web API, fetching rich metadata (titles, descriptions, images, Open Graph tags, etc.) for any URL. It lets clients retrieve structured link preview data. Ideal for chat bots, UIs, and agents that need to unfurl links and display previews or analyze page metadata, using your Opengraph.io App ID. There is also a suite of image generation tools. There are both stdio & https transports available use the npx config for stdio or the url config for HTTPS

A Model Context Protocol MCP server for capturing website screenshots with full page, element, and device size features.

## What Peekaboo Can Do Peekaboo provides three main tools that give AI agents visual capabilities: - **`image`** - Capture screenshots of screens or specific applications - **`analyze`** - Ask AI questions about captured images using vision models - **`list`** - Enumerate available screens and windows for targeted captures Each tool is designed to be powerful and flexible. The most powerful feature is visual question answering - agents can ask questions about screenshots like "What do you see in this window?" or "Is the submit button visible?" and get accurate answers. This saves context space since asking specific questions is much more efficient than returning raw image data. Peekaboo supports both cloud and local vision models, letting you choose between accuracy and privacy.

A simple implementation of an MCP server for the ScreenshotOne API