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Naver Search MCP Server

by neneungyul2
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Python
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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

    Disambiguation4/5

    The search_* tools are clearly separated by content vertical (web, news, blog, cafe, image, Kin, encyclopedia, local). The datalab_shopping_* family has overlapping-looking variants (category vs keyword, by device/gender/age), but descriptions and examples make the intended distinctions mostly clear.

    Naming Consistency4/5

    Names are consistently snake_case and grouped by recognizable prefixes: search_*, datalab_*, and brand_*. Minor deviations exist, such as find_category lacking a prefix and inconsistent keyword/keywords usage in datalab_shopping_* names.

    Tool Count3/5

    Twenty tools is borderline heavy for the server's purpose. The datalab_shopping_* matrix of category/keyword by device/gender/age creates eight granular tools that could arguably be parameterized into fewer operations.

    Completeness4/5

    The surface covers many major Naver search verticals and provides broad DataLab trend analysis plus brand trend/mention tools. Some notable Naver verticals such as shopping search, video, and book search are absent, but core search and analytics workflows are covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources