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NOAA Forecast — US Weather Predictions MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NOAA Forecast — US Weather Predictions through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="NOAA Forecast — US Weather Predictions Assistant",
            instructions=(
                "You help users interact with NOAA Forecast — US Weather Predictions. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from NOAA Forecast — US Weather Predictions"
        )
        print(result.final_output)

asyncio.run(main())
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About NOAA Forecast — US Weather Predictions MCP Server

Connect your AI agent to the official National Weather Service forecast engine.

The OpenAI Agents SDK auto-discovers all 5 tools from NOAA Forecast — US Weather Predictions through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries NOAA Forecast — US Weather Predictions, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the NOAA Forecast — US Weather Predictions MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 5 tools from NOAA Forecast — US Weather Predictions

Why Use OpenAI Agents SDK with the NOAA Forecast — US Weather Predictions MCP Server

OpenAI Agents SDK provides unique advantages when paired with NOAA Forecast — US Weather Predictions through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

NOAA Forecast — US Weather Predictions + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the NOAA Forecast — US Weather Predictions MCP Server delivers measurable value.

01

Automated workflows: build agents that query NOAA Forecast — US Weather Predictions, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries NOAA Forecast — US Weather Predictions, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through NOAA Forecast — US Weather Predictions tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query NOAA Forecast — US Weather Predictions to resolve tickets, look up records, and update statuses without human intervention

NOAA Forecast — US Weather Predictions MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect NOAA Forecast — US Weather Predictions to OpenAI Agents SDK via MCP:

01

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

02

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

03

get_grid_data

Useful for programmatic analysis. US only. Get raw NWS grid weather data: temperature, precipitation, wind, humidity arrays

04

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

05

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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NOAA Forecast — US Weather Predictions immediately.

01

"What's the weather forecast for New York City this week?"

02

"Get hourly forecast for Miami Beach"

Troubleshooting NOAA Forecast — US Weather Predictions MCP Server with OpenAI Agents SDK

Common issues when connecting NOAA Forecast — US Weather Predictions to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

NOAA Forecast — US Weather Predictions + OpenAI Agents SDK FAQ

Common questions about integrating NOAA Forecast — US Weather Predictions MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect NOAA Forecast — US Weather Predictions to OpenAI Agents SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.