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"Information about Puppeteer - a web automation tool or other meanings" matching MCP servers:

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    MCP server for headless browser automation using Puppeteer, enabling AI to navigate, click, fill forms, take screenshots, and execute JavaScript on web pages.
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    Enables browser automation with concurrent tab pool management using Puppeteer. Supports navigation, content extraction, screenshots, element interaction, and JavaScript execution across multiple browser tabs with auto-recovery and idle timeout features.
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    A Model Context Protocol server that provides browser automation capabilities using Puppeteer, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
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    Enables Puppeteer-based web automation (navigation, screenshots, PDF generation, JavaScript execution, clicking) on Android Termux by running Chromium inside an Alpine Linux container.
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    MIT
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    A Model Context Protocol server that provides browser automation capabilities using Puppeteer with configurable options through environment variables, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a browser environment.
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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.
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    MIT
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    Provides a Google search tool via the Serper API, returning structured results and a summary answer for LLMs like Claude.
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    An advanced MCP server for browser automation using Puppeteer, specifically optimized for token efficiency through minimal data returns and progressive enhancement. It enables agents to navigate pages, capture LLM-optimized screenshots, extract structured content, and perform batch interactions.
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    Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.
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    7
    MIT