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    Provides local web search and content fetching capabilities for AI assistants, enabling them to search DuckDuckGo and extract clean text from web pages. All requests originate from the user's machine to ensure direct network control and bypass external proxies.
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    This application is a powerful browser monitoring and interaction tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to capture and analyze browser data through a Chrome extension.
    Last updated
    7,268
    MIT
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    Agent-native browser control MCP server that enables AI agents to browse and interact with web pages via accessibility tree snapshots and ref ID-based commands.
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    MIT
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    touch-browser is an evidence-grounded MCP server for public docs and research web workflows. It helps AI agents search and open web pages, extract page-local evidence with citations and confidence bands, classify browsing risk, and synthesize multi-page sessions into citation-ready reports.
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    10
    Mozilla Public 2.0
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    An open-source MCP server that provides browser automation capabilities to external AI systems, enabling navigation, DOM interaction, and web content extraction.
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    Apache 2.0
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    An MCP server for browser automation using Puppeteer that enables AI assistants to navigate web pages, interact with UI elements, and capture screenshots. It supports comprehensive web tasks including form filling, content extraction, and executing custom JavaScript within the browser context.
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    1
    MIT
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    An MCP server that provides an undetectable Playwright browser to bypass Cloudflare and other bot detection systems, enabling AI agents to navigate and scrape web pages without being blocked.
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    48
    MIT
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    A Model Control Protocol server that enables AI agents to perform web browsing tasks through a standardized interface using the browser-use library.
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    1
    MIT