MCP Weather Temperature Server

Example Use Cases

• 1

  Understand and process natural language weather queries.

• 2

  Fetch real-time weather temperature data.

• 3

  That require structured agentic interaction for weather-related workflows.

Description

This MCP server uses Python, Langchain, LangGraph, and uv to handle natural language queries about weather. It leverages the GROQ API for LLM-based query understanding and WeatherAPI for fetching real-time weather data. The server enables structured agentic interaction for AI-native workflows and can be extended for more complex weather-related tasks.