Weather (Open-Meteo) MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Weather (Open-Meteo) 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({
"weather-open-meteo": {
"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 Weather (Open-Meteo), 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 Weather (Open-Meteo) MCP Server
Connect to Open-Meteo and empower your AI agent with high-precision meteorological data through natural conversation. This server provides comprehensive weather insights for any location on Earth without requiring complex API configurations.
LangChain's ecosystem of 500+ components combines seamlessly with Weather (Open-Meteo) through native MCP adapters. Connect 7 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
- Current Conditions — Retrieve real-time temperature, humidity, wind speed, and precipitation for any city
- Precise Forecasts — Get 7-day daily forecasts or detailed 24-hour hourly breakdowns to plan your activities
- Air Quality — Monitor US AQI levels and dominant pollutants (PM2.5, PM10, Ozone) with health recommendations
- Weather Alerts — Receive critical notifications for severe weather conditions like storms, heavy snow, or high UV levels
- City Comparisons — Compare weather conditions between two different cities to help with travel or logistics planning
- Best Time Analysis — Find the optimal window for outdoor activities based on temperature and precipitation thresholds
- Global Coverage — Seamlessly geocode any city name into coordinates for instant weather retrieval
The Weather (Open-Meteo) MCP Server exposes 7 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 Weather (Open-Meteo) to LangChain via MCP
Follow these steps to integrate the Weather (Open-Meteo) 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 7 tools from Weather (Open-Meteo) via MCP
Why Use LangChain with the Weather (Open-Meteo) MCP Server
LangChain provides unique advantages when paired with Weather (Open-Meteo) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Weather (Open-Meteo) 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 Weather (Open-Meteo) queries for multi-turn workflows
Weather (Open-Meteo) + LangChain Use Cases
Practical scenarios where LangChain combined with the Weather (Open-Meteo) MCP Server delivers measurable value.
RAG with live data: combine Weather (Open-Meteo) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Weather (Open-Meteo), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Weather (Open-Meteo) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Weather (Open-Meteo) tool call, measure latency, and optimize your agent's performance
Weather (Open-Meteo) MCP Tools for LangChain (7)
These 7 tools become available when you connect Weather (Open-Meteo) to LangChain via MCP:
weather.air_quality
Always display the health_recommendation from the result. AQI scale: 0-50=Good, 51-100=Moderate, 101-150=Unhealthy for Sensitive Groups, 151-200=Unhealthy, 201-300=Very Unhealthy, 301+=Hazardous. Get current air quality index (AQI), PM2.5, PM10, ozone, and NO2 for any city
weather.alerts
Alerts are computed from current conditions and the 7-day forecast. Returns an empty list if no significant conditions are detected. Get active weather alerts and advisories for any city, derived from forecast data
weather.best_time
This tool analyses hourly data for 72 hours and scores each 3-hour window using activity-specific criteria. Supports activities: general, hiking, beach, cycling, running, outdoor_work, photography, picnic. Always show the tip from the top-ranked window. Find the best time windows in the next 72 hours to do an outdoor activity in any city, with a comfort score
weather.compare
g. "which city has better weather?", "should I go to Lisbon or Madrid this weekend?", "compare weather in NYC, London, and Tokyo"). Accepts 2 to 5 cities. Computes a comfort score for each and highlights the best option. Compare current weather conditions across multiple cities side by side, with comfort scores
weather.current
Accept natural language city names (e.g. "São Paulo", "New York", "Paris, France"). Do NOT use for forecasts — use weather.forecast for that. Get current weather conditions for any city in the world
weather.forecast
Default to 7 days if the user does not specify. Max 14 days. For today's hour-by-hour breakdown, use weather.hourly instead. Get a multi-day weather forecast (1–14 days) for any city in the world
weather.hourly
Always covers the next 24 hours from now. For multi-day overview, use weather.forecast instead. Get an hour-by-hour weather forecast for the next 24 hours for any city
Example Prompts for Weather (Open-Meteo) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Weather (Open-Meteo) immediately.
"What's the weather like in Tokyo right now?"
"Give me the 7-day forecast for London."
"Compare the weather between New York and Miami."
Troubleshooting Weather (Open-Meteo) MCP Server with LangChain
Common issues when connecting Weather (Open-Meteo) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWeather (Open-Meteo) + LangChain FAQ
Common questions about integrating Weather (Open-Meteo) 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?
Connect Weather (Open-Meteo) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 Weather (Open-Meteo) to LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.