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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
    1
    28 PyPI
    MIT
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    A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
    3
    18,898 PyPI
    1,522
    MIT
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    Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.
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    30 PyPI
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    MIT
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    A Model Context Protocol server that provides web search and content fetching through DuckDuckGo, with rate limiting, error handling, and LLM-friendly output formatting.
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    MIT
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    Enables natural-language search and retrieval of Taiwan 104 job bank listings, including job details and company-specific openings, with filters for location, salary, experience, and remote work through an MCP interface.
    4
    35 npm
    MIT
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    Allows AI agents to run, inspect, and create Scrapeer visual web-scraping flows, bridging human-designed browser automation with agent-driven execution.
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    42 npm
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    MIT
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    An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.
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    15,058 npm
    1
    MIT
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    Web search, crawling and ranking evaluation on your own YaCy peer: no API key, no central service. Results carry author-signature verdicts and declared tags.
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    GPL 2.0
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    Enables AI assistants to search Twitter/X, YouTube, Reddit, Google, app-store listings, and 100+ other public web data endpoints via natural language, with prepaid credit or per-call USDC payment and no account or OAuth required.
    5
    6 npm
    MIT
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    Searches top design platforms like Dribbble and Behance to provide UI inspiration, color palettes, and layout patterns via the Serper API. It allows users to retrieve visual references, articles, and style guides directly within any MCP-compatible client.
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    MIT
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    Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.
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    MIT
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    An MCP server that enables AI assistants to fetch web content in multiple formats (HTML, JSON, text, Markdown) with intelligent content extraction, chunk management, and browser automation support.
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    213 npm
    15
    MIT
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    Integrates Firecrawl for web scraping, crawling, search, and content extraction capabilities. Supports single/batch scraping, URL discovery, structured data extraction, deep research, and AI-powered web analysis with automatic retries and rate limiting.
    8
    117,089 npm
    MIT
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    Undetected Chrome automation for AI agents, a drop-in alternative to chrome-devtools-mcp for sites behind Cloudflare, DataDome and similar anti-bot systems. Real Chrome over direct CDP, no ChromeDriver binary. Passes bot.sannysoft.com 58/58. 70 tools whose names match chrome-devtools-mcp, so switching is a config change. Can also attach to a Chrome you are already signed into.
    70
    126 PyPI
    6
    MIT
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    TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.
    13
    127 npm
    13
    MIT