Open-Meteo Weather Forecast MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Open-Meteo Weather Forecast through the 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="Open-Meteo Weather Forecast Assistant",
instructions=(
"You help users interact with Open-Meteo Weather Forecast. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Open-Meteo Weather Forecast"
)
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 Open-Meteo Weather Forecast MCP Server
Connect your AI agent to the world's most comprehensive open weather API — no API key, no registration, no rate-limit headaches.
The OpenAI Agents SDK auto-discovers all 4 tools from Open-Meteo Weather Forecast through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Open-Meteo Weather Forecast, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- 16-Day Forecast — Hourly and daily predictions with temperature, precipitation probability, wind, humidity, UV index, and weather codes
- Current Conditions — Real-time snapshot including apparent temperature, cloud cover, wind gusts, and precipitation status
- Hourly Granularity — Dewpoint, visibility, snow depth, solar radiation, evapotranspiration, and CAPE convective index
- Daily Summaries — Max/min temperature, sunrise/sunset times, sunshine duration, and dominant wind direction
The Open-Meteo Weather Forecast MCP Server exposes 4 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 Open-Meteo Weather Forecast to OpenAI Agents SDK via MCP
Follow these steps to integrate the Open-Meteo Weather Forecast 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 4 tools from Open-Meteo Weather Forecast
Why Use OpenAI Agents SDK with the Open-Meteo Weather Forecast MCP Server
OpenAI Agents SDK provides unique advantages when paired with Open-Meteo Weather Forecast 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
Open-Meteo Weather Forecast + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Open-Meteo Weather Forecast MCP Server delivers measurable value.
Automated workflows: build agents that query Open-Meteo Weather Forecast, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Open-Meteo Weather Forecast, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Open-Meteo Weather Forecast tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Open-Meteo Weather Forecast to resolve tickets, look up records, and update statuses without human intervention
Open-Meteo Weather Forecast MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect Open-Meteo Weather Forecast to OpenAI Agents SDK via MCP:
get_current_weather
Provide latitude and longitude. Get current weather conditions for any location
get_daily_summary
Get daily weather summary with sunrise/sunset
get_hourly_details
Get detailed hourly weather data
get_weather_forecast
Provide latitude and longitude coordinates. Get weather forecast for any location (up to 16 days)
Example Prompts for Open-Meteo Weather Forecast in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Open-Meteo Weather Forecast immediately.
"What's the weather forecast for Tokyo this week?"
"What are the current weather conditions in New York?"
"Will it snow in Munich in the next 10 days?"
Troubleshooting Open-Meteo Weather Forecast MCP Server with OpenAI Agents SDK
Common issues when connecting Open-Meteo Weather Forecast to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Open-Meteo Weather Forecast + OpenAI Agents SDK FAQ
Common questions about integrating Open-Meteo Weather Forecast 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 Open-Meteo Weather Forecast with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Open-Meteo Weather Forecast to OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.