Maps & Location

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.

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.

Saju Insights is an open-source Model Context Protocol (MCP) server that enables AI agents to perform complex Korean Four Pillars of Destiny (Saju) calculations. It serves as a specialized bridge for LLMs, providing accurate birth charts, 10-year luck cycles, and relationship compatibility data that standard AI models cannot calculate natively.

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.

Weather MCP is a free, open-source Model Context Protocol (MCP) server that grants AI agents real-time access to global weather and air quality data without requiring an API key. Built on the Open-Meteo API, it serves as a lightweight, 'no-friction' utility for developers to add environmental context to LLMs like Claude and Cursor.