playwright-mcp vs opentabs
playwright-mcp: Playwright MCP is a server that leverages Playwright's browser automation capabilities to enable Large Language Models (LLMs) to interact with web pages. It utilizes structured accessibility snapshots, allowing LLMs to process web content without relying on visual input or traditional screenshots.; opentabs: OpenTabs reverse-engineers internal APIs of web apps and exposes them as MCP tools. It consists of an MCP server and a Chrome extension that routes API calls through your browser sessions, enabling fast and deterministic AI interactions without screenshots or DOM scraping. It supports over 100 plugins covering ~2,000 tools.
TL;DR
- You want an agent to drive a real browser through structured accessibility snapshots instead of screenshots, so no vision model is needed.
- You need Firefox, WebKit or Edge as well as Chrome: the README's --browser option lists chrome, firefox, webkit and msedge.
- You want to test or script flows with isolated in-memory profiles (--isolated), device emulation (--device) or saved Playwright traces (--save-trace).
- Your main goal is debugging or performance analysis of a page; Chrome DevTools MCP exposes performance traces and network inspection as dedicated tools.
- You need proxies, CAPTCHA handling or large-scale scraping of protected sites; that is outside what the README claims for this server.
- You want to treat it as a sandbox: the project says its origin allow and block lists are not a security boundary.
AI agents performing actions on web apps (e.g., checking stock portfolio, ordering food)
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