NWS (National Weather Service) MCP Server for LangChainGive LangChain instant access to 9 tools to Get Active Alerts, Get Active Alerts By Area, Get Alert, and more

Name: NWS (National Weather Service)
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 NWS (National Weather Service) 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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The NWS (National Weather Service) MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 9 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

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+ 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({
        "nws-national-weather-service": {
            "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 NWS (National Weather Service), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 NWS (National Weather Service) MCP Server

Connect to the National Weather Service (NWS) API to retrieve precise meteorological data for any US location. This server allows AI agents to fetch point-based grid information, detailed textual forecasts, hourly updates, and critical weather alerts.

LangChain's ecosystem of 500+ components combines seamlessly with NWS (National Weather Service) through native MCP adapters. Connect 9 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

Location Mapping — Convert coordinates into NWS grid points using get_point to unlock hyper-local data.
Forecasts — Get detailed textual and hourly forecasts for specific grid locations via get_forecast and get_hourly_forecast.
Weather Alerts — Monitor active watches, warnings, and advisories nationwide or by specific state/area with get_active_alerts and get_active_alerts_by_area.
Station Observations — Access real-time data from weather stations, including the latest atmospheric readings using get_latest_station_observation.

The NWS (National Weather Service) MCP Server exposes 9 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 9 NWS (National Weather Service) tools available for LangChain

When LangChain connects to NWS (National Weather Service) through Vinkius, your AI agent gets direct access to every tool listed below — spanning meteorological-data, weather-forecast, real-time-alerts, 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.

get

Get active alerts on NWS (National Weather Service)

Get all currently active weather alerts

get

Get active alerts by area on NWS (National Weather Service)

g., TX, FL, AMZ). Get active alerts for a specific area

get

Get alert on NWS (National Weather Service)

Get details for a specific weather alert

get

Get forecast on NWS (National Weather Service)

Get textual forecast for a specific grid location

get

Get hourly forecast on NWS (National Weather Service)

Get hourly forecast for a specific grid location

get

Get latest station observation on NWS (National Weather Service)

Get the latest observation for a specific station

get

Get point on NWS (National Weather Service)

Get NWS office and grid information for a latitude/longitude

get

Get station observations on NWS (National Weather Service)

Get observations for a specific station

get

Get stations on NWS (National Weather Service)

Get a list of all observation stations

Connect NWS (National Weather Service) to LangChain via MCP

Follow these steps to wire NWS (National Weather Service) 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 9 tools from NWS (National Weather Service) via MCP

Why Use LangChain with the NWS (National Weather Service) MCP Server

LangChain provides unique advantages when paired with NWS (National Weather Service) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine NWS (National Weather Service) 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 NWS (National Weather Service) queries for multi-turn workflows

NWS (National Weather Service) + LangChain Use Cases

Practical scenarios where LangChain combined with the NWS (National Weather Service) MCP Server delivers measurable value.

RAG with live data: combine NWS (National Weather Service) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query NWS (National Weather Service), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain NWS (National Weather Service) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every NWS (National Weather Service) tool call, measure latency, and optimize your agent's performance

Example Prompts for NWS (National Weather Service) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with NWS (National Weather Service) immediately.

"What is the weather forecast for coordinates 34.0522, -118.2437?"

"Are there any active weather alerts in Texas right now?"

"Get the latest weather observation for station KLAX."

Troubleshooting NWS (National Weather Service) MCP Server with LangChain

Common issues when connecting NWS (National Weather Service) to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

NWS (National Weather Service) + LangChain FAQ

Common questions about integrating NWS (National Weather Service) 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.