Weather Agent

About

The Weather Agent is a state-of-the-art implementation of the Model Context Protocol (MCP), designed to showcase the future of AI interoperability. It utilizes a standardized protocol to connect Large Language Models to live tools, fetching real-time weather forecasts, alerts, and atmospheric analytics for any city globally. Built with Streamlit for a reactive user interface and powered by Groq's LPU for near-instant inference, this system demonstrates how Agentic AI can orchestrate complex workflows like geocoding, external API calls, and conversational synthesis, delivering low-latency, hallucination-free weather intelligence.

Key Features

• Hyper-Fast Inference: Utilizes Llama 3 70B on Groq LPUs for sub-second reasoning and responses.
• Smart Context: Maintains conversation history and context-aware responses for a more natural user experience.
• Global Coverage: Provides instant weather intelligence for over 100,000 cities worldwide.
• Multi-Modal Input: Supports both text and voice (WebRTC) interaction for flexible user engagement.
• Standardized Tooling: Built entirely on the open-source Model Context Protocol (MCP) standard for AI interoperability.
• 1 GitHub stars

Use Cases

• Obtaining real-time global weather forecasts, alerts, and atmospheric analytics for any city.
• Integrating accurate, hallucination-free weather data into conversational AI applications.
• Demonstrating the capabilities of agentic AI systems for complex, protocol-driven data retrieval and reasoning.