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"Using Python to Locate and Retrieve Browser Element Selectors" matching MCP tools:

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    An MCP server for indexing and searching local text files using late-interaction retrieval (ColBERT-style MaxSim), enabling token-level relevance matching.
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    MIT

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  • Locate any element on a webpage using visible text, ARIA role, label, CSS selector, or XPath. Returns a unique CSS selector and element details for interaction.
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  • Locate a DOM element by CSS selector and retrieve its physical screen coordinates for mouse_click. Use browser_overview to find appropriate selectors.
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  • Extract sanitized HTML from web pages to analyze structure, identify form fields, and plan automation selectors for web crawling operations.
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  • Perform browser actions like click, fill, and type using element references or CSS selectors. Returns updated page state after interactions.
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  • Locate UI elements on Android screens using selectors like text, resource ID, or class name to identify buttons, text fields, or other components for automation tasks.
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  • Execute Python code to generate interactive visualizations, plots, and dashboards, then view them in a browser via a unique URL.
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  • Automate browser interactions by clicking, typing, selecting, or scrolling elements using semantic selectors like data-testid, role, label, or text, with automatic visibility and enabled state handling.
  • Locate a UI element on a mobile device using a natural language description. Returns coordinates, type, and confidence score. For example, 'the login button' or 'email input field'. Uses AI vision.
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  • Retrieve visual feedback pins for a specific LWC component, including element selectors, comments, and thread history, with a plain-language summary ready for implementation.
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