How do I get a Weatherbit API key?

Sign up for free at [**weatherbit.io**](https://www.weatherbit.io/account/create). Free tier includes 500 API calls/day.

Can I search by city name?

Yes! Use get_current_weather_by_city or get_forecast_daily_by_city with city name and optional country code (e.g. city='London', country='GB').

How far ahead can I forecast?

Daily forecast supports up to 16 days ahead. Hourly forecast supports up to 240 hours (10 days). Historical data goes back 30+ years.

Does it include air quality data?

Yes! Use get_air_quality with coordinates to get AQI, PM2.5, PM10, O3, NO2, SO2 and CO concentrations with health recommendations.

Weatherbit MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Weatherbit
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Weatherbit through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Weatherbit Assistant",
            instructions=(
                "You help users interact with Weatherbit. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Weatherbit"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Weatherbit MCP Server

Connect to Weatherbit and access global weather data through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Weatherbit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Weatherbit, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Current Weather — Get real-time conditions (temperature, humidity, wind, precipitation, UV) by coordinates or city name
Daily Forecast — Get up to 16-day daily forecasts with high/low temps, precipitation, wind and UV
Hourly Forecast — Get up to 10-day hourly forecasts with detailed conditions
Historical Weather — Access 30+ years of historical daily weather data
Weather Alerts — Get active severe weather warnings and watches
Air Quality — Get AQI, PM2.5, PM10, O3, NO2, SO2 and CO readings
Severe Weather — Query recent severe weather reports (tornadoes, hail, floods)

The Weatherbit MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Weatherbit to OpenAI Agents SDK via MCP

Follow these steps to integrate the Weatherbit MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Weatherbit

Why Use OpenAI Agents SDK with the Weatherbit MCP Server

OpenAI Agents SDK provides unique advantages when paired with Weatherbit through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Weatherbit + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Weatherbit MCP Server delivers measurable value.

Automated workflows: build agents that query Weatherbit, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Weatherbit, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Weatherbit tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Weatherbit to resolve tickets, look up records, and update statuses without human intervention

Weatherbit MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Weatherbit to OpenAI Agents SDK via MCP:

get_air_quality

Returns AQI score, PM2.5, PM10, O3, NO2, SO2, CO concentrations and health recommendations. Get air quality index (AQI) by coordinates

get_current_weather

Returns temperature, feels like, humidity, wind speed/direction, precipitation, cloud cover, visibility, UV index, weather description and icon. Get current weather conditions by coordinates

get_current_weather_by_city

Returns temperature, feels like, humidity, wind, precipitation, cloud cover, visibility, UV index and weather description. Get current weather conditions by city name

get_forecast_daily

Returns daily high/low temperatures, weather conditions, precipitation probability, wind, humidity, UV index and sunrise/sunset times. Get daily weather forecast by coordinates

get_forecast_daily_by_city

Returns daily forecasts for up to 16 days ahead with temperatures, conditions, precipitation, wind and UV index. Get daily weather forecast by city name

get_forecast_hourly

Returns temperature, precipitation probability, wind, humidity, cloud cover and weather conditions for each hour. Get hourly weather forecast by coordinates

get_forecast_hourly_by_city

Returns hourly forecasts with temperature, precipitation, wind and conditions. Get hourly weather forecast by city name

get_historical_weather

Returns temperature, precipitation, wind, humidity and other metrics for dates in the past 30 years. Get historical weather data by coordinates

get_severe_weather

Useful for tracking recent severe weather activity. Query severe weather reports in a geographic area

get_weather_alerts

Returns alert type, severity, description, effective/expiry times and affected areas. Get active weather alerts by coordinates

Example Prompts for Weatherbit in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Weatherbit immediately.

"What's the weather in London today?"

"Give me the 5-day forecast for Tokyo."

"What's the air quality in São Paulo?"

Troubleshooting Weatherbit MCP Server with OpenAI Agents SDK

Common issues when connecting Weatherbit to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Weatherbit + OpenAI Agents SDK FAQ

Common questions about integrating Weatherbit MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.