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    Semantic browser automation MCP server that lets AI agents control a browser using natural language, handling navigation, form filling, data extraction, and more without CSS selectors.
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    MIT
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    Enables AI assistants to crawl websites, extract dynamic content, navigate links, and save structured Markdown files via the MCP protocol, with support for anti-bot bypass, CSS selectors, and custom JavaScript execution.
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    MIT
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    Provides web search and page fetch tools for LLM assistants, extracting content and enabling text search within fetched pages.
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    A lightweight MCP server that enables LLMs to search the web via DuckDuckGo, search GitHub code repositories, and extract clean content from web pages in LLM-friendly formats.
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    An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.