QWeather / 和风天气 MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect QWeather / 和风天气 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"qweather": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using QWeather / 和风天气, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with QWeather / 和风天气 through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the QWeather / 和风天气 MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from QWeather / 和风天气 via MCP
Why Use LangChain with the QWeather / 和风天气 MCP Server
LangChain provides unique advantages when paired with QWeather / 和风天气 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine QWeather / 和风天气 MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across QWeather / 和风天气 queries for multi-turn workflows
QWeather / 和风天气 + LangChain Use Cases
Practical scenarios where LangChain combined with the QWeather / 和风天气 MCP Server delivers measurable value.
RAG with live data: combine QWeather / 和风天气 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query QWeather / 和风天气, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain QWeather / 和风天气 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every QWeather / 和风天气 tool call, measure latency, and optimize your agent's performance
QWeather / 和风天气 MCP Tools for LangChain (10)
These 10 tools become available when you connect QWeather / 和风天气 to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting QWeather / 和风天气 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersQWeather / 和风天气 + LangChain FAQ
Common questions about integrating QWeather / 和风天气 MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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Connect QWeather / 和风天气 to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.