Weather (Open-Meteo) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
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
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.
Automated workflows: build agents that query Weather (Open-Meteo), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Weather (Open-Meteo), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Weather (Open-Meteo) tools and transform it with OpenAI models in a single async loop
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:
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
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
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
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
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
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
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.
"What's the weather like in Tokyo right now?"
"Give me the 7-day forecast for London."
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Weather (Open-Meteo) + OpenAI Agents SDK FAQ
Common questions about integrating Weather (Open-Meteo) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Weather (Open-Meteo) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
