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How to Use the Caiyun Weather / 彩云天气 MCP in OpenAI Agents SDK

Run production-grade OpenAI Agents SDK workflows with real-time, minute-by-minute China weather data.

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OpenAI Agents SDK

Connect Caiyun Weather / 彩云天气 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Caiyun Weather / 彩云天气 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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Minute-by-minute rain forecasts in OpenAI Agents SDK

By calling `get_minutely_rain` and `get_precipitation_probability`, your production agent can pinpoint exactly when rain starts down to the minute. This allows the system to evaluate real-time precipitation risks before executing logistics decisions or dispatching teams. You get actual raw meteorology data instead of generic forecasts. This allows your agentic workflows to make smart, automated decisions based on real-time atmospheric shifts across China.

Real-time environmental tracking for agents

This MCP Server exposes `get_aqi_info` and `get_visibility_data` to feed your python agents with live environmental metrics. Clean operations rely on instant updates regarding regional air quality and horizontal visibility. Built-in safety guardrails in your SDK validate these data payloads before they trigger downstream actions. You don't have to worry about corrupt pollution data breaking your automated triggers.

Safe wind and forecast tracking

Using `get_wind_conditions`, `get_realtime_weather`, `get_hourly_forecast`, and `get_daily_forecast`, your system schedules outdoor activities with zero manual oversight. Your agent can inspect weather trends over time to ensure safe operating conditions. The OpenAI platform tracks these tool calls in your dashboard. You can trace exactly how your agent parsed the wind speed before approving a drone flight or outdoor event.

Setup guide

Set up Caiyun Weather / 彩云天气 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. 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. 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 Caiyun Weather / 彩云天气 tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Caiyun Weather / 彩云天气 tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Caiyun Weather / 彩云天气 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="Caiyun Weather / 彩云天气 Agent",
            instructions="You have access to Caiyun Weather / 彩云天气 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Caiyun Weather / 彩云天气. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Caiyun Weather / 彩云天气 MCP in OpenAI Agents SDK

Install the SDK first, then initialize `MCPServerStreamableHttp` pointing to your Vinkius endpoint. This connects the MCP Server to your Python environment. Pass this server instance into your Agent constructor's server list and set the cache option to keep tool discovery fast.
Yes. Vinkius runs this server on isolated infrastructure to handle production-level traffic. Your OpenAI agents can query the weather tools continuously without degrading performance.
You define validation schemas inside your python code. Before your agent acts on data from `get_realtime_weather`, the SDK validates the structure to prevent bad runs.
No configuration is needed. Your agents auto-discover all eight weather tools instantly during runtime initialization.
Your coordinate queries are sent directly to the weather API through an ephemeral V8 sandbox. Vinkius does not log or store the geographic coordinates your agents request.

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