Enables agents to extract structured data from web pages by giving a URL and a natural-language prompt describing the fields to retrieve. It exposes this capability as an MCP tool that plugs into clients like Claude, VS Code, Cursor, and Windsurf.
A local MCP server paired with a Chrome extension that lets any MCP-compatible AI agent drive the browser you're already signed into — navigating, clicking, filling forms, scraping and extracting structured records using your real profile, cookies and logged-in sessions. It exposes 28 browser_* tools over stdio and relays them to the extension on localhost, with capabilities like paginated record extraction, ref-tagged snapshots, screenshots, and opt-in file uploads.
Turns Chrome into a local MCP server, giving AI agents 51 browser tools to inspect DOM, automate clicks, run JavaScript, audit security and accessibility, mock APIs, extract data, record demos, and more from any MCP client.
Enables language models to perform AI-powered web scraping, extraction, search, crawling, schema generation, and scheduled monitoring through remote or local MCP integration.
Connects MCP-compatible AI agents to an anti-detection browser server, exposing dozens of tools for navigation, page interaction, search, content extraction, downloads, multi-tab handling, and persistent sessions. It lets agents automate and scrape the web at scale using accessibility snapshots, CSS-selector fallbacks, saved profiles, and batch workflows over stdio or authenticated HTTP transport.