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 agents to inspect why React components re-rendered, replay recorded browser interactions as performance scenarios in headless Chrome, and verify fixes against performance budgets.
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 agents to measure live mobile and desktop web sessions instead of guessing from screenshots — computing contrast ratios, touch-target sizes, overflow and theme drift straight from the DOM and returning findings as text with the exact selector attached. A human and the agent share one live session, so the user can pin a bug with a note and the agent reads that note plus the matching frame.