A Korean location recommendation MCP server based on the Kakao Map API

An MCP server that provides Korean beauty (K-Beauty) information, supporting real-time search, brand database, ingredient analysis, and AI skin photo analysis. It includes more than 58 brands and personalized skincare recommendations.

This project converts the National Institute of Korean Language Standard Korean Dictionary API into an MCP protocol server, enabling large - language models to access and utilize Korean dictionary information.

KiMCP is a server project based on the Model Context Protocol (MCP), aiming to integrate local Korean APIs (such as Naver, Kakao, TMAP, etc.) into LLM applications, providing various service functions including blog search, news retrieval, and map navigation.

This is a server project based on Model Context Protocol (MCP), aiming to integrate with Kakao Mobility and Kakao Map APIs to provide route planning and location search services suitable for the South Korean environment.

The Korean stock analysis MCP server provides AI analysis services for stock price information, financial data, and company announcements through the official APIs of DART and KRX.

A South Korean meteorological data query server based on the MCP protocol, providing accurate weather forecast information for various regions in South Korea, including data such as temperature, precipitation, and sky conditions.

An MCP server that provides Korean tourism information, supporting functions such as area code query, tourism information search, and viewing of attraction details.

An MCP server project based on the API of the Korean Electronic Disclosure System, providing various financial and corporate information disclosure functions, including announcement search, company profile, main information of regular reports, and financial data, etc.

This project provides a Model Context Protocol (MCP) server based on the official API of the Korea Tourism Organization (KTO), enabling AI assistants to query detailed information about Korean tourist attractions, cultural events, dining, and accommodation. It supports multi - language search, location awareness, caching, and automatic retry functions, and can be run directly through Docker or Python.

RagAlgo is an MCP server that provides mathematically scored financial context (South Korean stocks/cryptocurrencies) for AI agents. It focuses on using daily closing data to build a 'factual state' to prevent AI hallucinations caused by real - time market noise, aiming to build investment advisors rather than high - frequency trading robots.

This is an MCP server based on the TAGO subway information API of the Ministry of Land, Infrastructure and Transport in South Korea, providing functions for searching Korean subway stations and querying train timetables.

A Korean express delivery query MCP server based on the SweetTracker API, providing express delivery company list query and waybill number tracking functions.