Maps & Location

Saju Insights is an open-source web application that provides comprehensive Korean Four Pillars (Saju) readings, ranging from daily fortunes to 10-year luck cycles. It is designed for astrology enthusiasts seeking personalized metaphysical guidance and stands out by offering advanced customization across different traditional schools of interpretation for free.

Weather MCP is an open-source server built on Anthropic’s Model Context Protocol that provides AI agents with real-time weather and air quality data. It is designed for developers using LLM clients like Claude Desktop or Cursor who need a zero-configuration way to give their AI "eyes" on the physical world. Its primary differentiator is the use of the Open-Meteo API, which allows for immediate data retrieval without the friction of API key registration.

United States Weather Data Access is an open-source Model Context Protocol (MCP) server that connects AI assistants like Claude to real-time National Weather Service data. It is designed for developers and AI enthusiasts who need a reliable, zero-cost bridge to authoritative U.S. meteorological forecasts and alerts. Its key differentiator is the seamless translation of natural language queries into official government API calls without requiring private API keys.

Seoul Essentials is an open-source Model Context Protocol (MCP) server that provides structured, real-time data on public facilities and transit in Seoul. It is designed for AI agents and developers building travel or utility applications that need to find restrooms, pharmacies, WiFi hotspots, and subway schedules via official government data. Its key differentiator is its native integration with the MCP standard, making it instantly usable for LLMs like Claude and ChatGPT.

Macrostrat-MCP is a specialized Model Context Protocol server that connects AI models to the vast Macrostrat geological database, enabling natural language queries about bedrock and stratigraphy. It is designed for geoscientists and developers who need to integrate high-fidelity geological context into AI-driven research workflows. Its primary differentiator is the ability to bridge complex, coordinate-based earth science data with conversational AI agents.