A high-performance browser automation MCP server that provides AI agents with a fast, persistent Chromium instance via Playwright. It features reference-based element interaction, snapshot diffing, and manual handoff capabilities to handle complex tasks like CAPTCHAs.
A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.
A Playwright-powered MCP server for browser automation using ARIA snapshots and element refs, enabling LLMs to control Chrome/Edge without CSS selectors.
An MCP server that runs concurrent, session-isolated Playwright browser contexts, so many agents can each drive their own browser at the same time without colliding.
An MCP server that provides an LLM with a real Chromium browser via Playwright, recording every action taken toward a stated goal and producing a structured trace so the run can be audited for goal achievement.
