How do I get an OpenWeather API key?

Visit [**openweathermap.org/api**](https://openweathermap.org/api), click **Sign Up** for a free account, go to **API Keys** in your account settings, and create a new key. Copy it — it's a 32-character hex string. Free tier includes 60 calls/minute.

Can I get weather alerts for my location?

Yes! Use `get_weather_alerts` with lat/lon coordinates. Returns active alerts with sender name, event type, severity, description and start/end times. Useful for monitoring severe weather, floods, heat waves and other dangerous conditions.

Can I get historical weather data?

Yes! Use `get_historical_weather` with lat/lon and a date in YYYY-MM-DD format. Returns the weather conditions for that specific day including temperature, humidity, wind and pressure.

How do I find coordinates for a city?

Use `geocode` with the city name (e.g. 'London', 'São Paulo', 'Tokyo'). Returns the top 5 matching locations with their latitude, longitude, country code and state. Use these coordinates with other weather tools.

OpenWeather MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: OpenWeather
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect OpenWeather through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 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({
        "openweather": {
            "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 OpenWeather, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About OpenWeather MCP Server

Connect to OpenWeather APIs and access global weather data through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with OpenWeather through native MCP adapters. Connect 11 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 Weather — Get real-time temperature, humidity, wind, pressure, visibility and conditions for any location
Hourly Forecast — 48-hour hourly forecast with temperature, precipitation probability and UV index
Daily Forecast — Up to 16-day daily forecast with min/max temperatures and weather descriptions
Weather Alerts — Active severe weather warnings and alerts for any location
Air Quality — Current AQI and 4-day forecast with pollutant concentrations (PM2.5, PM10, O3, NO2, CO)
Historical Weather — Weather conditions for any past date
Sun Times — Sunrise and sunset times for any location
Geocoding — Convert city names to coordinates and vice versa

The OpenWeather MCP Server exposes 11 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 OpenWeather to LangChain via MCP

Follow these steps to integrate the OpenWeather 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 11 tools from OpenWeather via MCP

Why Use LangChain with the OpenWeather MCP Server

LangChain provides unique advantages when paired with OpenWeather through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine OpenWeather 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 OpenWeather queries for multi-turn workflows

OpenWeather + LangChain Use Cases

Practical scenarios where LangChain combined with the OpenWeather MCP Server delivers measurable value.

RAG with live data: combine OpenWeather tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query OpenWeather, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain OpenWeather tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every OpenWeather tool call, measure latency, and optimize your agent's performance

OpenWeather MCP Tools for LangChain (11)

These 11 tools become available when you connect OpenWeather to LangChain via MCP:

geocode

Returns the top 5 matching locations with their coordinates, country codes and state names. Use these coordinates with other weather tools. Convert a city name to coordinates

get_air_quality

5, PM10, O3, NO2, SO2, CO, NH3). AQI scale: 1=Good, 2=Fair, 3=Moderate, 4=Poor, 5=Very Poor. Requires lat/lon coordinates. Get current air quality index for a location

get_air_quality_forecast

Each data point includes AQI level (1-5 scale) and concentrations of PM2.5, PM10, O3, NO2, SO2, CO and NH3. Get 4-day air quality forecast for a location

get_current_weather

Requires either city name (e.g. "London", "São Paulo") or latitude/longitude coordinates. Get current weather conditions for a location

get_daily_forecast

Each day includes min/max temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Get daily weather forecast for up to 16 days

get_forecast

Each data point includes temperature, humidity, wind, pressure and weather description. Optionally set the number of days (1-5). Requires either city name or lat/lon. Get 5-day/3-hour weather forecast

get_historical_weather

Returns temperature, humidity, wind, pressure and weather description for the requested date. Requires lat/lon and date in YYYY-MM-DD format. Get historical weather data for a specific date

get_hourly_forecast

Each hour includes temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Use geocode to find coordinates for a city name. Get hourly weather forecast using One Call API

get_sun_times

Returns the exact times and the sun's elevation angle at sunrise/sunset. Requires lat/lon coordinates. Get sunrise and sunset times for a location

get_weather_alerts

Returns alert type, severity, description, start and end times. Requires lat/lon coordinates. Useful for monitoring severe weather conditions. Get active weather alerts for a location

reverse_geocode

Returns the city, state, country and postal code for the given coordinates. Convert coordinates to a city name

Example Prompts for OpenWeather in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with OpenWeather immediately.

"What's the current weather in São Paulo?"

"What's the 7-day forecast for Tokyo?"

"Is the air quality good in Beijing right now?"

Troubleshooting OpenWeather MCP Server with LangChain

Common issues when connecting OpenWeather to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OpenWeather + LangChain FAQ

Common questions about integrating OpenWeather MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.