Weather Forecaster

Create a weather forecasting agent using the Open Meteo MCP to provide detailed weather information and forecasts.

Python

import asyncio
from dedalus_labs import AsyncDedalus, DedalusRunner
from dotenv import load_dotenv
from dedalus_labs.utils.stream import stream_async

load_dotenv()

async def main():
    client = AsyncDedalus()
    runner = DedalusRunner(client)

    result = await runner.run(
        input="""I'm planning a outdoor wedding in San Francisco next weekend. 
        Can you provide:
        1. Current weather conditions
        2. 7-day forecast with hourly details
        3. Probability of precipitation
        4. Temperature highs and lows
        5. Wind conditions and UV index
        6. Recommendations for outdoor event planning based on the forecast""",
        model="openai/gpt-4.1",
        mcp_servers=["joerup/open-meteo-mcp"]
    )

    print(f"Weather Forecast Results:\n{result.final_output}")

if __name__ == "__main__":
    asyncio.run(main())

This example uses the Open Meteo MCP (joerup/open-meteo-mcp) which provides:

• Current weather conditions
• Multi-day weather forecasts
• Hourly weather data
• Historical weather information
• Weather alerts and warnings

Try it out in your projects!