How do I find my QWeather API Key?

Log in to the [QWeather Developer Console](https://dev.qweather.com/), create a project, and your API Key will be displayed in the project settings. Ensure you select the correct key type (Web API).

What is the difference between dev and commercial plans?

The 'dev' plan uses `devapi.qweather.com` and has limited data frequency and locations. Commercial plans (standard/premium) use `api.qweather.com` and provide higher resolution data and broader global coverage. Set your `qweather_plan` in the credentials to use the correct endpoint.

Can I query weather by coordinates?

Yes! You can pass coordinates in the format `longitude,latitude` (e.g., '116.41,39.92') to any tool that accepts a `location` parameter.

QWeather / 和风天气 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: QWeather / 和风天气
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect QWeather / 和风天气 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="QWeather / 和风天气 Assistant",
            instructions=(
                "You help users interact with QWeather / 和风天气. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from QWeather / 和风天气"
        )
        print(result.final_output)

asyncio.run(main())

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About QWeather / 和风天气 MCP Server

Empower your AI agent to orchestrate your daily planning and environmental monitoring with QWeather (和风天气), the premier commercial weather platform in China. By connecting QWeather to your agent, you transform complex meteorological data and location-based environmental searches into a natural conversation. Your agent can instantly retrieve real-time weather, 15-day forecasts, air quality indices, severe weather warnings, and astronomical data without you ever needing to navigate a technical dashboard. Whether you are planning outdoor operations or auditing air quality across different regions, your agent acts as a real-time environmental consultant, providing accurate and fast results from a single, unified source.

The OpenAI Agents SDK auto-discovers all 10 tools from QWeather / 和风天气 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries QWeather / 和风天气, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Weather Orchestration — Retrieve current weather and detailed forecasts (up to 15 days) for any location worldwide.
Air Quality Auditing — Monitor real-time AQI, PM2.5, and PM10 levels to ensure safe operating conditions.
Life Index Insights — Access specialized indices for UV radiation, clothing recommendations, and car washing suitability.
Warning Monitoring — Audit active severe weather warnings to maintain safety and organizational continuity.
Geographic Discovery — Search for location IDs and coordinates using keywords to refine your regional tracking.

The QWeather / 和风天气 MCP Server exposes 10 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 QWeather / 和风天气 to OpenAI Agents SDK via MCP

Follow these steps to integrate the QWeather / 和风天气 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 10 tools from QWeather / 和风天气

Why Use OpenAI Agents SDK with the QWeather / 和风天气 MCP Server

OpenAI Agents SDK provides unique advantages when paired with QWeather / 和风天气 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

QWeather / 和风天气 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the QWeather / 和风天气 MCP Server delivers measurable value.

Automated workflows: build agents that query QWeather / 和风天气, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries QWeather / 和风天气, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through QWeather / 和风天气 tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query QWeather / 和风天气 to resolve tickets, look up records, and update statuses without human intervention

QWeather / 和风天气 MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect QWeather / 和风天气 to OpenAI Agents SDK via MCP:

get_air_now

5, etc.). Get current air quality

get_indices

Get daily life indices

get_moon_astronomy

Get moonrise and moonset times

get_sun_astronomy

Get sunrise and sunset times

get_warning

Get weather warnings

get_weather_24h

Get 24-hour weather forecast

get_weather_3d

Get 3-day weather forecast

get_weather_7d

Get 7-day weather forecast

get_weather_now

Get current weather

lookup_location

Search for location ID

Example Prompts for QWeather / 和风天气 in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with QWeather / 和风天气 immediately.

"What is the current weather in Beijing (101010100)?"

"Check the air quality for Shanghai today."

"Find the location ID for 'Hangzhou'."

Troubleshooting QWeather / 和风天气 MCP Server with OpenAI Agents SDK

Common issues when connecting QWeather / 和风天气 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

QWeather / 和风天气 + OpenAI Agents SDK FAQ

Common questions about integrating QWeather / 和风天气 MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.