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    RollingGo MCP is a high-performance hotel search and recommendation service built on the MCP (Model Context Protocol) standard. It connects large language models with a massive database of domestic and international hotel data, providing real-time structured hotel search capabilities for AI assistants, agents, travel planning tools, or IDE plugins like Cursor/Windsurf.
    1
    MIT
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    Enables AI agents to search, compare, and book hotels with real-time pricing and availability, supporting multiple location types, star ratings, and price filters.
    7
    MIT
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    Enables AI agents to search and book hotels globally with real-time pricing and inventory from over 2 million properties.
    81
    MIT
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    MCP server for hybrid documentation search (keyword + vector) and RAG chat, enabling natural language queries with cited answers from indexed repositories.
    MIT
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    Enables web search and AI-summarized answers via an x402-gated gateway, with options for structured results or enriched summaries, accessible as an MCP server.
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    Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.
    11
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    Unlicense - libtelnet variant
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    Enables Web3-focused web searches via the OptimAI External Search API, providing tools to start, retrieve, list, and cancel searches from any MCP-compatible AI host.
    5
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    ISC
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    Enables web search and deep multi-source research for Cerase agents via LiteLLM proxy, with billing attribution per agent.
    MIT
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    MCP server for AI search crawler governance, brand safety, and search infrastructure auditing. Provides tools to audit robots.txt, canonical links, sitemaps, redirects, and send IndexNow notifications.
    MIT
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    An MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.
    8
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    1,409
    MIT
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    Enables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.
    1
    MIT