Agentic Weather System
byShivbaj
0Provides intelligent weather services through an orchestrated multi-server agentic architecture with local LLM integration.
About
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.
Key Features
- Docker-First Architecture with Complete Containerization
- Intelligent Workflow Coordination with Local LLM (Ollama)
- Real-time Current Weather and Detailed Forecasting
- Multi-Server Orchestration and Registry for Scalable Agents
- Natural Language Processing for Complex Weather Queries
- 0 GitHub stars
Use Cases
- Deploying scalable agentic applications that require intelligent weather data.
- Integrating real-time weather conditions and forecasts into other systems.
- Building multi-server architectures leveraging local LLMs for task coordination.
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