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
Category: weather-data-mcp
Stars: 1, Forks: 0
Quality score: 20 (experimental)
Risk flags: no_package, no_dependents