Naver Shopping Insight MCP

Example Use Cases

• 1

  Retrieve category-level shopping trend data (overall or by device) to inform product recommendation or market analysis workflows.

• 2

  Demographic breakdowns (gender and age) of shopping trends to personalize messaging, segmentation, or targeting strategies.

• 3

  Keyword-level trend time series to detect rising search interest and trigger alerts or content generation based on emerging shopping topics.

Description

This MCP server wraps the Naver Shopping Insight / DataLab API and exposes endpoints as MCP tools (e.g., category trends, device/gender/age breakdowns, and keyword trends). It is designed to be run as a standalone node process or installed as an npm package and configured via an MCP.json entry. The server requires a Naver developer client ID and secret and standardizes Naver shopping trend data for use by MCP-compatible agents and workflows. It simplifies access to structured trend data so agents can incorporate shopping insights into decision-making or automation tasks.