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Naver Search MCP Server

by floatingcloud
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    • Lens

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      Integrated web search MCP server with multi-engine parallel execution, automatic fallback, BM25 relevance filtering, and content extraction. Supports DuckDuckGo and Naver (news, web, encyclopedia) searches.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each search_* tool targets a distinct Naver content type (news, blog, shop, etc.), and each datalab_* tool covers a specific trend analysis dimension. The descriptions clearly differentiate otherwise similar-looking datalab_shopping variants.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with a clear prefix (search_ or datalab_) followed by the target or dimension. This uniformity makes the tool set easy to predict and navigate.

    Tool Count3/5

    With 20 tools, the set is on the heavier side. While each tool maps to a distinct Naver API endpoint, the datalab_shopping family alone accounts for 7 tools, making the overall surface feel somewhat large for the server's scope.

    Completeness4/5

    The server covers the major Naver search categories and trend analysis dimensions, providing a robust set for most query needs. Minor gaps exist, such as missing some specialized search categories (e.g., movie, people), but these are not critical.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources