OpenWeatherMap MCP Server for LangChainGive LangChain instant access to 6 tools to Direct Geocoding, Get Air Pollution, Get Current Weather, and more

Name: OpenWeatherMap
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The OpenWeatherMap MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenWeatherMap MCP Server

Connect OpenWeatherMap to your AI agent to get instant access to global meteorological data. Whether you're planning travel, monitoring environmental conditions, or building weather-aware automations, this server provides the precise data you need.

LangChain's ecosystem of 500+ components combines seamlessly with OpenWeatherMap through native MCP adapters. Connect 6 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 — Get live temperature, humidity, wind speed, and weather descriptions for any city or coordinate via get_current_weather.
Extended Forecasts — Access 5-day/3-hour forecasts with get_forecast or use the One Call 3.0 API for 48-hour hourly and 8-day daily projections via get_onecall.
Air Quality Monitoring — Retrieve real-time pollution data including PM2.5, PM10, CO, and Ozone levels using get_air_pollution.
Geocoding Services — Seamlessly convert city names to coordinates with direct_geocoding and vice versa with reverse_geocoding to power location-based queries.

The OpenWeatherMap MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 OpenWeatherMap tools available for LangChain

When LangChain connects to OpenWeatherMap through Vinkius, your AI agent gets direct access to every tool listed below — spanning meteorology, weather-forecast, air-quality, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

direct

Direct geocoding on OpenWeatherMap

Convert city names or zip codes into coordinates

get

Get air pollution on OpenWeatherMap

5, PM10, and NH3. Get current air pollution data

get

Get current weather on OpenWeatherMap

Get current weather data

get

Get forecast on OpenWeatherMap

Get 5 Day / 3 Hour Forecast

get

Get onecall on OpenWeatherMap

Get One Call API 3.0 weather data

reverse

Reverse geocoding on OpenWeatherMap

Convert coordinates into city names

Connect OpenWeatherMap to LangChain via MCP

Follow these steps to wire OpenWeatherMap into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 6 tools from OpenWeatherMap via MCP

Why Use LangChain with the OpenWeatherMap MCP Server

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

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

OpenWeatherMap + LangChain Use Cases

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

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

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

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

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

Example Prompts for OpenWeatherMap in LangChain

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

"What's the current weather in London?"

"Give me the 5-day forecast for Tokyo."

"Check the air pollution levels at latitude 40.71 and longitude -74.00."

Troubleshooting OpenWeatherMap MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OpenWeatherMap + LangChain FAQ

Common questions about integrating OpenWeatherMap 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.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Explore More MCP Servers

View all →

Pelias Geocoder

10 tools

Map geospatial structures via Pelias APIs — convert coordinates, perform reverse geocoding, autocomplete POIs, and retrieve addresses natively by AI logs.