Naver

Naver

MCP server for Naver Search API integration, supporting blog, news, shopping search and DataLab analytics features.

46
Stars
20
Forks
0
Releases

Overview

naver-search-mcp is an MCP server that integrates Naver's Search API and DataLab API to enable unified search across blog, news, shopping, and other Naver services, paired with DataLab trend analytics. It exposes a toolkit including a Time & Context tool (get_current_korean_time) for Korea Standard Time context, a Category Search tool (find_category) with fuzzy matching to map natural language queries to Naver category codes, and a broad set of Naver search capabilities (search_webkr, search_news, search_blog, search_cafearticle, search_shop, search_image, search_kin, search_book, search_encyc, search_academic, search_local). DataLab tools cover term trend analysis and shopping insights (datalab_search, datalab_shopping_category, datalab_shopping_by_device, datalab_shopping_by_gender, datalab_shopping_by_age, datalab_shopping_keywords, datalab_shopping_keyword_by_device, datalab_shopping_keyword_by_gender, datalab_shopping_keyword_by_age). The README also provides a category reference, multiple installation methods (NPX recommended; Smithery as an alternative with known issues; local installation; Docker deployment), and steps to obtain NAVER_CLIENT_ID and NAVER_CLIENT_SECRET from Naver Developers. Use cases span marketing, BI, product research, and developer integration. It includes Claude Desktop and other client configuration examples, plus comprehensive capability coverage for time, category discovery, content search, and DataLab analytics.

Details

Owner
isnow890
Language
JavaScript
License
MIT License
Updated
2025-12-07

Features

Time & Context Tools

get_current_korean_time fetches the current Korea Standard Time with date and time details to support temporal context in searches.

Category Search

find_category provides fuzzy matching to map natural language queries to Naver category codes, simplifying trend and shopping insights.

Naver Search Tools Suite

Access a broad array of Naver search tools (search_webkr, search_news, search_blog, search_cafearticle, search_shop, search_image, search_kin, search_book, search_encyc, search_academic, search_local) for comprehensive content retrieval.

DataLab Search

datalab_search analyzes search term trends for data-driven insights.

DataLab Shopping Category

datalab_shopping_category analyzes shopping category trends for market insights.

Datalab Shopping by Device

datalab_shopping_by_device analyzes shopping trends by device to understand device dominance.

Datalab Shopping by Gender

datalab_shopping_by_gender analyzes shopping trends by gender.

Datalab Shopping by Age

datalab_shopping_by_age analyzes shopping trends by age group.

Audience

MarketersLeverage cross-Naver Search data for campaigns, content strategy, and trend insights.
Data AnalystsAnalyze search and shopping trends to inform BI, forecasting, and product decisions.
DevelopersIntegrate Naver Search MCP into apps using NPX or Docker for clients.

Tags

Naver SearchDataLabMCPBlog SearchNews SearchShopping SearchCategory SearchKorean TimeData TrendsAPIs