Weather Prediction MCP Server
Provides current weather conditions, multi-day forecasts, and umbrella recommendations for any location using the Open-Meteo API. Enables natural language weather queries through MCP tools.
README
Weather Prediction MCP Server + Agent
Overview
This project implements a Weather Prediction MCP Server using FastMCP and integrates it with a Databricks Agent Bricks agent. The agent answers natural language weather questions by invoking external MCP tools that retrieve live weather data from the Open-Meteo API.
Weather API
- API: Open-Meteo
- Authentication: No API key required
MCP Tools
get_current_weather(location)
Returns the current weather conditions for a specified location.
get_forecast(location, days)
Returns a multi-day weather forecast.
predict_umbrella_needed(location)
Provides an umbrella recommendation based on the forecast precipitation probability.
System Prompt
You are a weather assistant that answers weather-related questions using the available MCP weather tools.
Use:
- get_current_weather() for current weather.
- get_forecast() for weather forecasts.
- predict_umbrella_needed() for weather recommendations.
Always use the appropriate tool before responding.
Never guess weather information.
If a location cannot be resolved or a tool fails, explain the issue instead of making assumptions.
Setup
Install dependencies:
pip install -r requirements.txt
Run the server:
python weather_mcp_server.py
Project Files
weather_mcp_server.py
weather_adapter.py
requirements.txt
app.yaml
README.md
Example Questions
- What is the current weather in Johannesburg?
- Give me a 7-day weather forecast for Hendrina.
- Should I bring an umbrella to Durban tomorrow?
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