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    Implements a Model Context Protocol server using Server-Sent Events for real-time communication with OAuth 2.1 integration via Ory Network, enabling secure AI model communication with authentication and client management.
    Apache 2.0
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    Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.
    8
    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
  • F
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    F
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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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    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
    15,853
    1,409
    MIT
  • A
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    quality
    D
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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
    15
    13
    ISC
  • A
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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
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    B
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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
  • F
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    Enables AI assistants to perform real-time web searches and retrieve AI-generated answers using the Yandex Search API. It provides tools for accessing up-to-date internet information with support for both raw search results and summarized content via the Yazeka model.
    47
  • F
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    Enables AI agents to search through Memex conversation history and local project files to retrieve specific commands, code snippets, and technology overviews. It utilizes smart context management and faceted filtering to provide relevant search results without causing context overload.