Provides real-time weather data to AI models through the National Weather Service API, enabling context-aware interactions.
This project showcases a lightweight Model Context Protocol (MCP) server, expertly crafted in Python using FastMCP and `httpx`. It serves as a demo for integrating real-time weather data from the National Weather Service API directly into AI agents like Claude Desktop. Designed for local connection, it enables Claude to execute weather retrieval tools and engage in context-aware conversations, demonstrating the power of external tool integration for AI.