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"Improving the Intelligence of Large Language Models" matching MCP servers:

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    Enables AI assistants to access real-time web data through search, markdown scraping, and browser automation while bypassing anti-bot protections. It provides tools for web research, e-commerce monitoring, and data extraction from across the globe.
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    MIT
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    Website Intelligence MCP Server exposes 10 tools for web scraping and analysis, enabling AI agents to convert URLs to Markdown, extract metadata, detect technologies, find contacts, and perform SEO checks. It wraps a REST API and supports optional API keys.
    MIT
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    Unified MCP server for browser automation (Playwright + CDP + CLI) and bookmark management across Chrome, Firefox, Edge, and Brave, including cross-browser sync, deduplication, and a React dashboard.
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    MIT
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    Transforms Claude into a persistent intelligence layer with automatic checkpointing, crash recovery, semantic memory, and cross-project learning. It provides 128+ tools for session management, adversarial testing, and browser automation to eliminate state loss and context rebuild costs.
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    MIT
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    An MCP server that enables AI agents to execute real-world actions through 10 specialized engines covering authenticated API calls, browser automation, visual QA, shell commands, file operations, job scraping, and parallel task execution.
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    Enables AI agents to perform privacy-respecting web searches through SearXNG, with support for multiple search engines, categories, and advanced filtering options.
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    chrome-debug-mcp is an asynchronous Rust-based Model Context Protocol (MCP) server that allows AI agents and Large Language Models to natively debug Chromium-based browsers via the Chrome DevTools Protocol (CDP).
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    MIT
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    Context-aware web fetching for LLMs, providing 7 tools to check page size, fetch with truncation, extract code/sections/links/tables, and paginate large documents.
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    MIT
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    Provides AI-powered web search, full-page content extraction, and search-enhanced Q\&A capabilities via the Metaso AI search engine. It enables large language models to access diverse information across web, academic, and multimedia sources with structured Markdown or JSON output.
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    A server that bridges AI models with Scrappey's web automation platform, allowing creation of browser sessions, execution of HTTP requests, and automation of browser actions while handling anti-bot protections.
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    Enables LLMs to retrieve and process web content by fetching URLs and converting HTML to markdown format. Supports chunked reading of large pages and can access both public websites and local networks.
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    MIT
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    Exposes tools for performing web searches via DuckDuckGo and fetching webpage content as simplified Markdown using crawl4ai. It enables language models to search the internet or specific websites and retrieve cleaned page text for analysis.
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