Provides intelligent weather services through an orchestrated multi-server agentic architecture with local LLM integration.
This comprehensive agentic model context protocol (MCP) system delivers intelligent weather services via an orchestrated multi-server architecture, designed for scalable agentic applications with full Docker support for streamlined deployment and operation. It leverages a local Large Language Model (LLM) like Ollama for natural language processing, task classification, and intelligent workflow coordination, offering real-time conditions, detailed forecasting, and alert monitoring from multiple weather data sources.