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.

An MCP server that provides stock data for KOSPI and KOSDAQ in South Korea

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.

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.

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

This is an MCP server project based on the OpenDart API, used to obtain fundamental information of South Korean listed companies. It is deployed on Google Cloud Run through the FastMCP framework and provides stock data query tools for LLMs.