invisible_playwright_mcp vs LaVague

Side-by-side comparison of two AI agent tools

Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scra

LaVagueopen-source

Large Action Model framework to develop AI Web Agents

Metrics

invisible_playwright_mcpLaVague
Stars31.7k6.4k
Star velocity /mo2.6k12.192513368983958
Commits (90d)2900
Releases (6m)100
Overall score0.81972492929162160.20632365989534013

Pros

    • +Well-architected framework with clear separation between World Model (planning) and Action Engine (execution) components
    • +Includes specialized LaVague QA tooling that converts Gherkin specs into automated tests for QA engineers
    • +Strong open-source community adoption with 6,318 GitHub stars and active development

    Cons

      • -Framework complexity may require significant learning curve for developers new to web automation
      • -Depends on external automation tools like Selenium or Playwright, adding infrastructure dependencies

      Use Cases

        • •Automating multi-step web research tasks like gathering installation instructions or documentation
        • •QA test automation by converting business requirements in Gherkin format into executable test suites
        • •Building user-facing automation tools that can navigate websites and perform complex workflows autonomously

        FAQ

        Which is more popular, invisible_playwright_mcp or LaVague?
        invisible_playwright_mcp has more GitHub stars (31,727 vs 6,394).
        Which is more actively developed, invisible_playwright_mcp or LaVague?
        invisible_playwright_mcp had more commits in the last 90 days (290 vs 0).
        Should I use invisible_playwright_mcp or LaVague?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.