How to Use the Weatherbit MCP in OpenAI Agents SDK

Q: Can I check air quality using Weatherbit and the OpenAI Agents SDK?

Absolutely. The agent uses the getairquality tool, taking coordinates as input to return AQI scores and concentrations for major pollutants like PM2.5 and CO. It's perfect for checking site safety.

Q: How do I get an hourly forecast with Weatherbit using the OpenAI Agents SDK?

You'll use the getforecasthourly tool. Just pass it coordinates or a city name, and your agent gets detailed data points for every hour: temperature, precipitation probability, wind, and conditions.

Access real-time weather, historical data, and air quality checks using your OpenAI Agents SDK.

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Connect Weatherbit MCP to OpenAI Agents SDK

Create your Vinkius account to connect Weatherbit to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Weatherbit with OpenAI Agents SDK

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Get current conditions anywhere.

The `get_current_weather` tool retrieves essential details like temperature, humidity, wind speed/direction, and visibility for any given coordinates. You can quickly assess immediate site conditions without needing a city name. The agent also supports using `get_current_weather_by_city`, which gives you those same core metrics—temp, feels like, cloud cover—but works just by knowing the place's name.

Track environmental hazards.

Need to know if it's safe outside? The `get_air_quality` tool returns comprehensive air metrics: AQI score, PM2.5, PM10, and concentrations for O3, NO2, etc., plus health advice. It gives you the full picture of breathable air. For immediate risk assessment, use `get_severe_weather` to query recent severe weather reports in a specific geographic area.

Plan weeks or months ahead.

The agent can look far into the future with `get_forecast_daily_by_city`, which delivers daily forecasts, including conditions, precipitation probability, and UV index for up to 16 days. You'll never have to guess what next month looks like again. If you need more detail than just a day's summary, the `get_forecast_hourly_by_city` tool gives you hourly forecasts covering temperature, wind, and conditions.

Setup guide

Set up Weatherbit MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Weatherbit tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Weatherbit tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Weatherbit tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Weatherbit Agent",
            instructions="You have access to Weatherbit tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Weatherbit MCP in OpenAI Agents SDK

The MCP Server exposes 10 specific tools that your agent auto-discovers. When you ask a question like 'What was the average PM2.5 in London last year?', the OpenAI Agents SDK routes that request directly to the appropriate `get_historical_weather` tool for processing.

Absolutely. The agent uses the `get_air_quality` tool, taking coordinates as input to return AQI scores and concentrations for major pollutants like PM2.5 and CO. It's perfect for checking site safety.

This server provides a massive array of structured data, including current metrics (temp, humidity), multi-day forecasts, historical records spanning 30 years, and real-time severe weather alerts.

You'll use the `get_forecast_hourly` tool. Just pass it coordinates or a city name, and your agent gets detailed data points for every hour: temperature, precipitation probability, wind, and conditions.

The server touches air quality metrics (PM2.5, AQI), atmospheric conditions (temp, humidity), historical data points, and current severe weather reports. All this is exposed through the MCP Server.

Use it with your favorite AI tools

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