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Agentic Weather System
Provides intelligent weather services through an orchestrated multi-server agentic architecture with local LLM integration.
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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.
API Development
Data Science & ML
Deployment & DevOps
