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    A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
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    MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.
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    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.
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    A server that enables AI assistants like Claude to perform web searches using the Exa AI Search API, providing real-time web information in a safe and controlled way.
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    MIT
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    A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
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    Enables web scraping and data extraction from websites with geographic flexibility, privacy features, and anti-detection capabilities. Supports scraping general websites, Google Search, Amazon Search, and Reddit with customizable parameters for rendering, geolocation, and locale.
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    An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.
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    Crawl4AI MCP Server is an intelligent information retrieval server offering robust search capabilities and LLM-optimized web content understanding, utilizing multi-engine search and intelligent content extraction to efficiently gather and comprehend internet information.
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    MIT