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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
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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 LLMs to interact with Zvec vector database through tools for collection management, document operations, vector search, and AI-powered embeddings.
    17
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    Apache 2.0
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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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    A server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.
    14
    3
    Apache 2.0
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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 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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    Enables LLM clients to search Jobo's live job index and fetch detailed job postings, with canonical search and fetch tools for ChatGPT Deep Research compatibility. Supports OAuth 2.1 authentication, structured filters, and self-hosting.
    211
    MIT
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    Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.
    14
    MIT
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    Enables interaction with KDB.AI through natural language for vector database operations, similarity searches, hybrid search, and advanced data analysis.
    1
    Apache 2.0
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    An interface for managing and querying MariaDB databases that supports standard SQL operations alongside advanced vector and embedding-based search capabilities. It enables AI assistants to seamlessly integrate relational and vector data workflows through a standardized protocol.
    199
    MIT