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isnow890

Naver Search MCP Server

datalab_shopping_keyword_by_age

Analyze Naver Shopping keyword trends by age groups to understand consumer behavior. Input keyword, category, date range, and age groups for targeted insights.

Instructions

Perform a trend analysis on Naver Shopping keywords by age. (네이버 쇼핑 키워드 연령별 트렌드 분석)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agesYesAge groups
categoryYesCategory code
endDateYesEnd date (yyyy-mm-dd)
keywordYesSearch keyword
startDateYesStart date (yyyy-mm-dd)
timeUnitYesTime unit

Implementation Reference

  • Handler function that maps tool arguments to client method parameters and calls the Naver DataLab API for shopping keyword trends by age.
    export async function handleShoppingKeywordByAgeTrend(
      params: DatalabShoppingKeywordAge
    ) {
      return client.datalabShoppingKeywordByAge({
        startDate: params.startDate,
        endDate: params.endDate,
        timeUnit: params.timeUnit,
        category: params.category,
        keyword: params.keyword,
        ages: params.ages,
      });
    }
  • Client method that performs the HTTP POST request to Naver DataLab API endpoint for shopping keyword by age trends.
    async datalabShoppingKeywordByAge(
      params: DatalabShoppingKeywordRequest
    ): Promise<DatalabShoppingResponse> {
      return this.post(
        `${this.datalabBaseUrl}/shopping/category/keyword/age`,
        params
      );
    }
  • src/index.ts:408-423 (registration)
    MCP server registration of the 'datalab_shopping_keyword_by_age' tool, including description, input schema, and execution handler.
    server.registerTool(
      "datalab_shopping_keyword_by_age",
      {
        description:
          "👶👦👨👴🔍 Analyze keyword performance by age groups within shopping categories. Use find_category first to get category codes. Perfect for age-targeted marketing and understanding generational shopping preferences. (쇼핑 키워드 연령별 트렌드 - 먼저 find_category 도구로 카테고리 코드를 찾으세요)",
        inputSchema: DatalabShoppingKeywordAgeSchema.shape,
      },
      async (args) => {
        const result = await datalabToolHandlers.datalab_shopping_keyword_by_age(
          args
        );
        return {
          content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
        };
      }
    );
  • Zod schema defining the input parameters for the datalab_shopping_keyword_by_age tool: startDate, endDate, timeUnit, category, keyword, ages.
    export const DatalabShoppingKeywordAgeSchema = DatalabBaseSchema.extend({
      category: z.string().describe("Category code"),
      keyword: z.string().describe("Search keyword"),
      ages: z
        .array(z.enum(["10", "20", "30", "40", "50", "60"]))
        .describe("Age groups"),
    });
  • Entry in datalabToolHandlers map that registers the tool handler function, logs args, and delegates to the main handler.
    datalab_shopping_keyword_by_age: (args) => {
      console.error("datalab_shopping_keyword_by_age called with args:", JSON.stringify(args, null, 2));
      return handleShoppingKeywordByAgeTrend(args);
    },

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