MCP server for browser automation that lets LLMs interact with web pages through structured accessibility snapshots, bypassing the need for screenshots.
Enables AI agents to monitor website performance by scanning sites, retrieving Core Web Vitals, detecting regressions, and receiving AI-powered optimization recommendations.
Enables AI coding agents to see, measure, and verify web pages through a real Chrome browser, including screenshots, responsive layout and accessibility audits, pixel diffing against baselines, secure logins, and deployed-fix verification.
Enables AI assistants and coding agents to audit, compare, and optimize websites for performance, SEO, AEO, GEO, and AI crawler accessibility directly from chat or development workflows.
Enables AI assistants to control and inspect a live Chrome browser for automated web debugging, performance analysis, and Lighthouse audits. It allows agents to capture screenshots, monitor network requests, and measure Core Web Vitals using plain-English prompts.