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    Enables local web crawling and scraping through MCP, providing tools to fetch pages as Markdown, extract structured data with CSS selectors, and capture full-page screenshots while managing a shared browser instance.
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    Read-only MCP server for Tehran Stock Exchange (TSETMC) live market data and authenticated TSE portal pages, enabling quotes, order books, market watch, and session-safe page reads via natural language.
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    MIT
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    Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.
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    AGPL 3.0
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    Enables LLM agents to retrieve live, accurately-labelled product data from Ozon's public storefront, including search with pagination and sorting, all price variants, delivery dates, seller legal details, variants, and SKU-specific ratings and reviews, all without an Ozon account.
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    MIT
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    Enables coding agents to turn videos from social platforms or local files into a small set of distinct frames plus a manifest, so they can answer visual questions by reading image paths. Also provides metadata lookup for captions and authors without downloading the video.
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    MIT
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    Provides web search capabilities across multiple engines and webpage content fetching to simplified Markdown. It enables AI assistants to access real-time internet information and extract text from specific URLs.
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    LinkAgent is a Python MCP server that extracts structured data from any website via Chrome DevTools Protocol. It features a plugin architecture with LinkedIn-specific extractors for feed, profiles, companies, jobs, and search, plus a Chrome extension bridge for authenticated browsing.
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    MIT
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    An MCP server that integrates with the SearXNG API to provide comprehensive web search capabilities with features like time filtering, language selection, and safe search. It also enables users to fetch and convert web content from specific URLs into markdown format.
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    10 npm
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    MIT
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    Enables an AI agent to drive a real LinkedIn account through a persistent browser session, covering full profile editing, people and content interactions (searching, connecting, messaging, posting, reacting), and job search with step-by-step Easy Apply submissions. It reads data through LinkedIn's internal Voyager API while writing through the actual UI, with a saved answer bank so repeated application questions are resolved automatically.
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