Ratnesh-181998/weather-mcp-a2a: MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.
Language: Python
Topics: a2a, a2a-protocol, agentic-ai, agents, aiops, docker, groq-api, groq-integration, lanchain, llm-ops, mcp, mcp-client, mcp-server, mcp-servers, nws-api, open-meteo-api, orchestrator, python, weather-api, webrtc
Category: weather-data-mcp