How to Use the Tomorrow.io Extended MCP in OpenAI Agents SDK

Build production agents using the OpenAI Agents SDK, handling hyper-local weather intelligence.

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Connect Tomorrow.io Extended MCP to OpenAI Agents SDK

Create your Vinkius account to connect Tomorrow.io Extended 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 Tomorrow.io Extended with OpenAI Agents SDK

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Get real-time conditions with `get_realtime_weather`

Your agent calls `get_realtime_weather` when it needs current info. You get the latest temperature, wind speed, and pressure readings immediately. This function provides a snapshot of what's happening right now at your specified location. It’s perfect for agents that need immediate data to make decisions.

Check future plans with `get_weather_forecast`

Need to know what tomorrow looks like? Use `get_weather_forecast`. This tool delivers predicted weather conditions over a specified period. It lets your agent plan ahead, giving you multiple data points for temperature and precipitation likelihood. Stop guessing about next week's commute.

List all potential dangers with `list_weather_alerts`

Run the `list_weather_alerts` tool to see any active weather warnings. This helps your agent check for high-priority issues like flash flooding or extreme heat. It gives you a clean list of current alerts, letting you prioritize safety checks first. Don't wait until disaster strikes to find out if there are warnings.

Setup guide

Set up Tomorrow.io Extended 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 Tomorrow.io Extended tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Tomorrow.io Extended 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="Tomorrow.io Extended Agent",
            instructions="You have access to Tomorrow.io Extended 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 Tomorrow.io Extended MCP in OpenAI Agents SDK

You pass the MCP Server object directly into the Agent constructor. Your AI client automatically finds and uses all exposed tools, like `get_air_quality` or `get_recent_history`. It's zero-config setup.

Absolutely. The agent framework handles diverse outputs from the MCP Server. Whether it's a forecast array or real-time air quality metrics, the agent processes it correctly through its guardrails.

For production systems, let your agents auto-discover tools and perform actions. Use the built-in tracing in the OpenAI dashboard to watch exactly how the agent uses `get_weather_forecast` or other MCP Server tools.

You wrap the MCP Server inside an asynchronous context manager and pass it to your Agent instance. It keeps everything clean, allowing specialized agents to hand off tasks seamlessly.

The server handles various forms of environmental data, including real-time weather measurements and air quality indices. The agent must be ready to process this kind of atmospheric information.

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