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

Q: How do I check alerts with Tomorrow.io Plus and OpenAI Agents SDK?

Use the listalerts tool to see all active weather warnings for specific locations. This method lets your agent immediately flag dangerous conditions before any action is taken.

Q: Can I get complex geography data with Tomorrow.io Plus and OpenAI Agents SDK?

Yes, the posttimelines tool handles complex shapes like GeoJSON geometries. You send these advanced location types to the MCP Server, which returns weather data for that specific area.

Q: What kind of insights can I pull with Tomorrow.io Plus and OpenAI Agents SDK?

You call listinsights to see pre-defined or custom categories. Your agent then uses these insight types to fetch relevant data, like specific event details using the listevents tool.

Q: What happens if I need future weather predictions?

Use getforecastweather. This tool provides hourly or daily forecasts for any location. Your agent can plan weeks ahead knowing exactly what conditions to expect.

Run hyper-local weather intelligence using your OpenAI Agents SDK.

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Connect Tomorrow.io Plus MCP to OpenAI Agents SDK

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

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Get Real-Time Weather Data with the MCP Server

The `get_realtime_weather` tool pulls current conditions for any location. Your AI client handles this data instantly, letting you know what's happening right now. This is useful for checking immediate impacts. You pass coordinates or a city name and get the up-to-the-minute report needed to guide your agent’s next steps.

Map Weather Tiles for Visualizing Data in OpenAI Agents SDK

To map out weather patterns, use `get_map_tile`. This tool retrieves specific map tiles so you can integrate the data directly into a visualization. It’s perfect for showing where different conditions are hitting. This keeps your agent workflow visual and actionable. You build complex maps using these tiles, making it simple to pinpoint affected areas across your deployment.

Check Historical Weather Records via the MCP Server

Need to know what happened yesterday? The `get_recent_history_weather` tool fetches weather data for the last 24 hours. This allows your agent to analyze past performance or track seasonal changes. It’s built for deep analysis. You retrieve historical records, which you can then compare against current forecasts using other tools like `get_forecast_weather`, giving your users a complete picture.

Setup guide

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

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Tomorrow.io Plus 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 Plus 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 Plus Agent",
            instructions="You have access to Tomorrow.io Plus 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 Plus MCP in OpenAI Agents SDK

Use the `list_alerts` tool to see all active weather warnings for specific locations. This method lets your agent immediately flag dangerous conditions before any action is taken.

Yes, the `post_timelines` tool handles complex shapes like GeoJSON geometries. You send these advanced location types to the MCP Server, which returns weather data for that specific area.

You call `list_insights` to see pre-defined or custom categories. Your agent then uses these insight types to fetch relevant data, like specific event details using the `list_events` tool.

Use `get_forecast_weather`. This tool provides hourly or daily forecasts for any location. Your agent can plan weeks ahead knowing exactly what conditions to expect.

This MCP Server touches hyper-local weather data, including temperature, precipitation intensity, and real-time conditions. All data passed through the server is governed by your agent's established security context.

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