Provides weather information through a Model Context Protocol (MCP) compatible server by leveraging Ollama's Large Language Model capabilities.
This server acts as an MCP-compatible backend, designed to deliver real-time weather information. It exposes a 'get-weather' tool that can be seamlessly integrated and utilized by any MCP client. Built with TypeScript and powered by Ollama's LLMs (like Llama3), it demonstrates how AI can be integrated into modular, protocol-driven applications to provide dynamic data.