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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Caiyun Weather / 彩云天气 MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
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
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.
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
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