NOAA Forecast — US Weather Predictions MCP Server for LangChain 5 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect NOAA Forecast — US Weather Predictions through the 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({
"noaa-forecast-us-weather-predictions": {
"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 NOAA Forecast — US Weather Predictions, 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 NOAA Forecast — US Weather Predictions MCP Server
Connect your AI agent to the official National Weather Service forecast engine.
LangChain's ecosystem of 500+ components combines seamlessly with NOAA Forecast — US Weather Predictions through native MCP adapters. Connect 5 tools via the 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
- 7-Day Forecast — Daily forecast with highs, lows, precipitation, and detailed narrative
- Hourly Forecast — 156 hours of hour-by-hour conditions
- Grid Data — Raw quantitative arrays: temperature, precipitation, wind, humidity
- Forecast Discussion — Technical AFD from NWS meteorologists at 122 offices
- Point Metadata — WFO assignment, grid coordinates, zone info
No API Key Required
Completely open. No registration needed.US Locations Only
The NWS API covers the United States, Puerto Rico, Guam, and US territories.The NOAA Forecast — US Weather Predictions MCP Server exposes 5 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 NOAA Forecast — US Weather Predictions to LangChain via MCP
Follow these steps to integrate the NOAA Forecast — US Weather Predictions 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 5 tools from NOAA Forecast — US Weather Predictions via MCP
Why Use LangChain with the NOAA Forecast — US Weather Predictions MCP Server
LangChain provides unique advantages when paired with NOAA Forecast — US Weather Predictions through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine NOAA Forecast — US Weather Predictions 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 NOAA Forecast — US Weather Predictions queries for multi-turn workflows
NOAA Forecast — US Weather Predictions + LangChain Use Cases
Practical scenarios where LangChain combined with the NOAA Forecast — US Weather Predictions MCP Server delivers measurable value.
RAG with live data: combine NOAA Forecast — US Weather Predictions tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query NOAA Forecast — US Weather Predictions, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain NOAA Forecast — US Weather Predictions tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every NOAA Forecast — US Weather Predictions tool call, measure latency, and optimize your agent's performance
NOAA Forecast — US Weather Predictions MCP Tools for LangChain (5)
These 5 tools become available when you connect NOAA Forecast — US Weather Predictions to LangChain via MCP:
get_forecast
Provide latitude and longitude for any US location. Returns high/low temps, wind speed/direction, precipitation probability, and detailed narrative. Get 7-day weather forecast for a US location by latitude and longitude
get_forecast_discussion
Use the 3-letter WFO code (e.g., OKX=New York, LAX=Los Angeles, MFL=Miami). Lists recent product IDs — retrieve the latest for full text. Get the Area Forecast Discussion (AFD) from a NWS Weather Forecast Office
get_grid_data
Useful for programmatic analysis. US only. Get raw NWS grid weather data: temperature, precipitation, wind, humidity arrays
get_hourly_forecast
5 days. Includes temperature, wind, humidity, precipitation, and sky condition for each hour. US locations only. Get hour-by-hour weather forecast (156 hours) for a US location
get_point_metadata
US locations only. Get NWS metadata for a US location: responsible WFO, grid coordinates, zones
Example Prompts for NOAA Forecast — US Weather Predictions in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with NOAA Forecast — US Weather Predictions immediately.
"What's the weather forecast for New York City this week?"
"Get hourly forecast for Miami Beach"
Troubleshooting NOAA Forecast — US Weather Predictions MCP Server with LangChain
Common issues when connecting NOAA Forecast — US Weather Predictions to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNOAA Forecast — US Weather Predictions + LangChain FAQ
Common questions about integrating NOAA Forecast — US Weather Predictions 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 NOAA Forecast — US Weather Predictions to LangChain
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.