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"Puppeteer" matching MCP servers:

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    A Model Context Protocol server that enables LLMs to automate web browsers using Puppeteer, allowing navigation, screenshots, form filling, and JavaScript execution in a real browser environment.
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    MIT
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    Enables LLMs to perform browser automation including web navigation, element interaction, and screenshot capture using Puppeteer. It provides capabilities for executing JavaScript in the browser and monitoring console logs for debugging and data extraction.
    21,469
    MIT
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    Scrapes webpages and converts them to markdown using AI-powered interaction to automatically handle cookie banners, CAPTCHAs, paywalls, and other blocking elements before extracting clean content.
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    Apache 2.0
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    A Model Context Protocol server that provides enhanced browser automation capabilities using Puppeteer-Extra with Stealth Plugin, enabling LLMs to interact with web pages in a way that better emulates human behavior and avoids detection as automation.
    3
    MIT
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    Enables LLMs like Claude to navigate the web through Puppeteer-based tools and Steel. Based on the Web Voyager framework, it provides tools for all the standard web actions click clicking/scrolling/typing/etc and taking screenshots.
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    MIT
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    Enables capturing screenshots of web pages and local HTML files through a simple MCP tool interface using Puppeteer with configurable options for dimensions and output paths.
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    30
    Apache 2.0
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    Stealth browser automation over raw CDP, driving a real unmodified Chrome with no Playwright or Puppeteer in the stack. Returns numbered element refs from the accessibility tree so a model clicks ref 3 instead of guessing a CSS selector, and can attach to an already-running Chrome to reuse logged-in sessions.
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    MIT
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    Enables web scraping and crawling capabilities for LLM clients, supporting single-page scraping, multi-page website crawling, and web search with multiple engines (Playwright, Cheerio, Puppeteer) and flexible output formats including markdown, HTML, text, and screenshots.
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    6
    MIT
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    Enables AI coding assistants to control and inspect a live Chrome browser for automated debugging, performance analysis, and web interaction. It leverages Puppeteer and Chrome DevTools to provide capabilities like network monitoring, console logging, and automated browser actions.