Skip to main content
Glama
floatingcloud

Naver Search MCP Server

by floatingcloud
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Related Servers

Alternatives to Naver Search MCP Server

No user-submitted related servers found.

    Related Servers

    • Naver Search MCP Server

      neneungyul2
      A
      license
      B
      quality
      B
      maintenance
      Enables querying Naver Search and DataLab APIs for web, news, blog, cafe, image, knowledge iN, encyclopedia, and local results, along with shopping insight and search-trend analytics using natural-language category lookup.
      20
      140 npm
      MIT

    • Naver Search MCP Server

      jikime
      A
      license
      A
      quality
      D
      maintenance
      Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.
      13
      4
      Apache 2.0

    • naver-mcp

      leedw80
      F
      license
      A
      quality
      C
      maintenance
      Naver Search API + Datalab API MCP server with 19 tools for Korean web search and trend analysis.
      19
      11 npm
      -

    • korean-keyword-mcp

      Whitening-Sinabro
      A
      license
      A
      quality
      D
      maintenance
      Enables Korean keyword niche analysis using Naver SearchAd API data for CPC, competition, and search volume, with tools for expansion, scoring, and trend discovery.
      7
      5 npm
      MIT
    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