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RAJUSHANIGARAPU

self-healing-browser-mcp

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to control a real browser through intent-based tools—reading pages, filling forms, clicking, and replaying self-healing recipes—while returning only concise answers instead of the DOM.
      17 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      A semantic browser runtime for AI agents that replaces raw HTML with structured data and dynamic, page-specific tools. It features built-in site memory and automated bot detection bypass to enable efficient, self-healing web automation.
      1
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    • F
      license
      C
      quality
      D
      maintenance
      Enables AI-powered browser automation with real profiles, supporting interaction, navigation, form filling, and advanced features like visual overlays and self-healing selectors.
      42
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    TDQS

    B3.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct action (navigate, snapshot, click, fill, get text, assert visibility, close) with no overlap. The descriptions clearly differentiate their purposes.

    Naming Consistency5/5

    All tools follow a consistent 'browser_verb_noun' pattern in snake_case, making the set predictable and easy to understand.

    Tool Count5/5

    The server has 7 tools, which is well-scoped for a browser automation server. Each tool provides a necessary function without redundancy or bloat.

    Completeness4/5

    The tool set covers core browser operations (navigation, interaction, state inspection, assertion). Minor gaps like scrolling or waiting exist but do not critically hinder typical agent workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues