Enables MCP-compatible clients to scrape and extract data from live websites using a headless Chromium browser, with support for CSS selectors, link extraction, table extraction, and Amazon product pages.
An MCP server that gives AI clients a Steel-managed Chromium browser to read pages that block plain fetch, take screenshots, and interact with sites via clicking, typing, and form filling, with explicit browser sessions and access to the accessibility tree or markdown.
Provides a headless Chromium browser through MCP, enabling AI agents to browse JavaScript-rendered pages, search the web, capture screenshots, extract tables and data, and run stateful multi-step interactions like clicking, typing, and form submission.
Fetches any URL and returns clean markdown, using a real Chrome fingerprint to bypass bot detection. Integrates as an MCP server with tools like fetch_markdown.
Headless browser automation for LLM agents via REST API or MCP tools. Enables navigating pages, reading structured content, clicking elements, filling forms, and executing JavaScript.
Enables local opencode agents to control a live Chrome browser via MCP tools, including tab management, JavaScript execution, clicking, form filling, page reading, screenshots, and console log retrieval.