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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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    MCP server that fetches ServiceNow Community events for a date range and returns them as structured data, optionally writing a CSV. No login or credentials required.
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    An MCP server for SearXNG that provides web search capabilities with concise model-visible output while preserving full result payloads in metadata. It supports search, parallel fetching, URL extraction, and research workflows through both local stdio and streamable HTTP transports.
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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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    29 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.
    11
    1
    GPL 2.0
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    An MCP server that uses headless Chromium (Puppeteer) to capture pixel-perfect screenshots and extract DOM from URLs, with LLM-friendly step-based workflows.
    2
    13 npm
    3
    MIT
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    MCP server for Mongolia's largest online classifieds platform unegui.mn, enabling AI assistants to search and retrieve listings for cars, real estate, electronics, jobs, and more with detailed information, primarily in Mongolian while supporting English queries.
    5
    7 npm
    5
    MIT
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    Enables any MCP client to run keyless multi-engine web searches with RRF fusion, fetch pages and documents as Markdown, and full-text search a local SQLite index. It keeps queries and cached content on the user's machine, degrading gracefully across engine tiers when providers are blocked or rate-limited.
    8
    MIT
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    Enables AI agents and compatible MCP clients to fetch, search, and download web content—including .onion services—anonymously through the Tor network, using a fresh circuit per call and retrying when exit nodes are blocked.
    6
    MIT
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    Extracts any Instagram post, reel, or multi-slide carousel and converts captions, OCR text, and metadata into structured screener filters such as PER, PBV, ROE, RSI, and volume for reusable IG-to-screener workflows.
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    MIT