QWeather / 和风天气 MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add QWeather / 和风天气 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="qweather_agent",
tools=tools,
system_message=(
"You help users with QWeather / 和风天气. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use QWeather / 和风天气 tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the QWeather / 和风天气 MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from QWeather / 和风天气 automatically
Why Use AutoGen with the QWeather / 和风天气 MCP Server
AutoGen provides unique advantages when paired with QWeather / 和风天气 through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use QWeather / 和风天气 tools to solve complex tasks
Role-based architecture lets you assign QWeather / 和风天气 tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive QWeather / 和风天气 tool calls
Code execution sandbox: AutoGen agents can write and run code that processes QWeather / 和风天气 tool responses in an isolated environment
QWeather / 和风天气 + AutoGen Use Cases
Practical scenarios where AutoGen combined with the QWeather / 和风天气 MCP Server delivers measurable value.
Collaborative analysis: one agent queries QWeather / 和风天气 while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from QWeather / 和风天气, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using QWeather / 和风天气 data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process QWeather / 和风天气 responses in a sandboxed execution environment
QWeather / 和风天气 MCP Tools for AutoGen (10)
These 10 tools become available when you connect QWeather / 和风天气 to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting QWeather / 和风天气 to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"QWeather / 和风天气 + AutoGen FAQ
Common questions about integrating QWeather / 和风天气 MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect QWeather / 和风天气 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect QWeather / 和风天气 to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
