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Weather (Open-Meteo) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

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

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="Weather (Open-Meteo) Assistant",
            instructions=(
                "You help users interact with Weather (Open-Meteo). "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Weather (Open-Meteo)"
        )
        print(result.final_output)

asyncio.run(main())
Weather (Open-Meteo)
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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 Weather (Open-Meteo) MCP Server

Connect to Open-Meteo and empower your AI agent with high-precision meteorological data through natural conversation. This server provides comprehensive weather insights for any location on Earth without requiring complex API configurations.

The OpenAI Agents SDK auto-discovers all 7 tools from Weather (Open-Meteo) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Weather (Open-Meteo), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Current Conditions — Retrieve real-time temperature, humidity, wind speed, and precipitation for any city
  • Precise Forecasts — Get 7-day daily forecasts or detailed 24-hour hourly breakdowns to plan your activities
  • Air Quality — Monitor US AQI levels and dominant pollutants (PM2.5, PM10, Ozone) with health recommendations
  • Weather Alerts — Receive critical notifications for severe weather conditions like storms, heavy snow, or high UV levels
  • City Comparisons — Compare weather conditions between two different cities to help with travel or logistics planning
  • Best Time Analysis — Find the optimal window for outdoor activities based on temperature and precipitation thresholds
  • Global Coverage — Seamlessly geocode any city name into coordinates for instant weather retrieval

The Weather (Open-Meteo) MCP Server exposes 7 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 Weather (Open-Meteo) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Weather (Open-Meteo) MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

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

03

Run the script

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

04

Explore tools

The agent will automatically discover 7 tools from Weather (Open-Meteo)

Why Use OpenAI Agents SDK with the Weather (Open-Meteo) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Weather (Open-Meteo) through the Model Context Protocol.

01

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

02

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

03

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

04

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

Weather (Open-Meteo) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Weather (Open-Meteo) MCP Server delivers measurable value.

01

Automated workflows: build agents that query Weather (Open-Meteo), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Weather (Open-Meteo), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Weather (Open-Meteo) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Weather (Open-Meteo) to resolve tickets, look up records, and update statuses without human intervention

Weather (Open-Meteo) MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Weather (Open-Meteo) to OpenAI Agents SDK via MCP:

01

weather.air_quality

Always display the health_recommendation from the result. AQI scale: 0-50=Good, 51-100=Moderate, 101-150=Unhealthy for Sensitive Groups, 151-200=Unhealthy, 201-300=Very Unhealthy, 301+=Hazardous. Get current air quality index (AQI), PM2.5, PM10, ozone, and NO2 for any city

02

weather.alerts

Alerts are computed from current conditions and the 7-day forecast. Returns an empty list if no significant conditions are detected. Get active weather alerts and advisories for any city, derived from forecast data

03

weather.best_time

This tool analyses hourly data for 72 hours and scores each 3-hour window using activity-specific criteria. Supports activities: general, hiking, beach, cycling, running, outdoor_work, photography, picnic. Always show the tip from the top-ranked window. Find the best time windows in the next 72 hours to do an outdoor activity in any city, with a comfort score

04

weather.compare

g. "which city has better weather?", "should I go to Lisbon or Madrid this weekend?", "compare weather in NYC, London, and Tokyo"). Accepts 2 to 5 cities. Computes a comfort score for each and highlights the best option. Compare current weather conditions across multiple cities side by side, with comfort scores

05

weather.current

Accept natural language city names (e.g. "São Paulo", "New York", "Paris, France"). Do NOT use for forecasts — use weather.forecast for that. Get current weather conditions for any city in the world

06

weather.forecast

Default to 7 days if the user does not specify. Max 14 days. For today's hour-by-hour breakdown, use weather.hourly instead. Get a multi-day weather forecast (1–14 days) for any city in the world

07

weather.hourly

Always covers the next 24 hours from now. For multi-day overview, use weather.forecast instead. Get an hour-by-hour weather forecast for the next 24 hours for any city

Example Prompts for Weather (Open-Meteo) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Weather (Open-Meteo) immediately.

01

"What's the weather like in Tokyo right now?"

02

"Give me the 7-day forecast for London."

03

"Compare the weather between New York and Miami."

Troubleshooting Weather (Open-Meteo) MCP Server with OpenAI Agents SDK

Common issues when connecting Weather (Open-Meteo) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Weather (Open-Meteo) + OpenAI Agents SDK FAQ

Common questions about integrating Weather (Open-Meteo) MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Weather (Open-Meteo) to OpenAI Agents SDK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.