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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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    MIT
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    Exposes Perplexity AI's search capabilities to Claude, enabling real-time web search and information retrieval within the assistant. The project is currently in active development with plans to support Perplexity Spaces and multi-source data synthesis.
    Apache 2.0
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    Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.
    7
    MIT
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    Provides 30 MCP tools for browser extension development, including scaffolding, running, debugging, inspecting, and publishing cross-browser extensions. It enables AI agents to interact with live browsers for debugging and development.
    30
    465
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    Apache 2.0
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    Enables evidence-grounded web design analysis by searching GDWEB references and generating isolated, per-reference DESIGN_INDEX specification documents for LLM-driven frontend development.
    5
    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.
    2
    12
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    A privacy-friendly MCP server that enables web searches and URL content extraction using DuckDuckGo, allowing AI assistants to access real-time web information without API keys.
    2
    1
    420
    42
    Apache 2.0
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    Enables AI assistants to perform real-time web searches, company research, content crawling, LinkedIn searches, and deep research using the Exa AI Search API. Provides comprehensive web information retrieval capabilities in a safe and controlled manner.
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    31,113
    1
    MIT
  • A
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    DevEyes is a Model Context Protocol (MCP) server that captures screenshots from your local development environment and automatically optimizes them for LLM consumption.
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    MIT
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    Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages using tools like page fetching, link extraction, site crawling, and more.
    6
    13
    MIT