Skip to main content
Glama

Naver Search MCP Server

datalab_shopping_category

Analyze Naver Shopping category trends by specifying time units, date ranges, and category codes to identify market patterns and consumer behavior.

Instructions

Perform a trend analysis on Naver Shopping category. (네이버 쇼핑 카테고리별 트렌드 분석)

Input Schema

NameRequiredDescriptionDefault
categoryYesArray of category name and code pairs
endDateYesEnd date (yyyy-mm-dd)
startDateYesStart date (yyyy-mm-dd)
timeUnitYesTime unit

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "category": { "description": "Array of category name and code pairs", "items": { "additionalProperties": false, "properties": { "name": { "description": "Category name", "type": "string" }, "param": { "description": "Category codes", "items": { "type": "string" }, "type": "array" } }, "required": [ "name", "param" ], "type": "object" }, "type": "array" }, "endDate": { "description": "End date (yyyy-mm-dd)", "type": "string" }, "startDate": { "description": "Start date (yyyy-mm-dd)", "type": "string" }, "timeUnit": { "description": "Time unit", "enum": [ "date", "week", "month" ], "type": "string" } }, "required": [ "startDate", "endDate", "timeUnit", "category" ], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/isnow890/naver-search-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server