How to Use the NCDC Climate Data Online MCP in OpenAI Agents SDK

Q: How do I fetch NCDC Climate Data Online records using OpenAI Agents SDK?

Initialize your agent with the Vinkius endpoint using the MCPServerStreamableHttp class. Once connected, your agent auto-discovers all 10 tools and can invoke getclimatedata immediately.

Q: Can OpenAI Agents SDK handle the complex metadata from NCDC Climate Data Online?

Yes. The agent uses listdataclasses to understand the granularity of the data—whether it's hourly, daily, or monthly. It then chains that knowledge to pull the correct records.

Pull historical weather records straight into your OpenAI Agents SDK workflows for reliable, data-backed decision making.

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Connect NCDC Climate Data Online MCP to OpenAI Agents SDK

Create your Vinkius account to connect NCDC Climate Data Online to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NCDC Climate Data Online with OpenAI Agents SDK

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Automated climate data discovery

Your agent maps out available climate information by querying `list_datasets` and `list_data_categories` directly. It identifies the correct metadata structure without manual oversight. Once the scope is defined, the agent uses `list_stations` to pinpoint exact geographical points. It confirms the station status before initiating any high-volume data requests.

Direct record retrieval

Fetch precise temperature or precipitation values using `get_climate_data` within your agent's execution loop. The tool provides raw, government-backed records for any specified station. This MCP Server integrates into your SDK pipeline as an asynchronous call. You get clean payloads ready for immediate processing by your agent's logic.

Production-ready climate tracing

Every tool call is logged and traceable via your OpenAI dashboard. You monitor how the agent navigates the complex hierarchy of `list_data_types` in real time. Because this MCP setup uses `cacheToolsList`, your agent avoids redundant network calls. It stays within the defined safety guardrails while pulling historical climate data.

Setup guide

Set up NCDC Climate Data Online MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all NCDC Climate Data Online tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives NCDC Climate Data Online tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate NCDC Climate Data Online tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="NCDC Climate Data Online Agent",
            instructions="You have access to NCDC Climate Data Online tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NCDC Climate Data Online. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about NCDC Climate Data Online MCP in OpenAI Agents SDK

Initialize your agent with the Vinkius endpoint using the `MCPServerStreamableHttp` class. Once connected, your agent auto-discovers all 10 tools and can invoke `get_climate_data` immediately.

Yes. The agent uses `list_data_classes` to understand the granularity of the data—whether it's hourly, daily, or monthly. It then chains that knowledge to pull the correct records.

You only need to provide the single endpoint token managed by Vinkius. The server handles all underlying authentication with the source API.

The server will return an error code which the agent catches. You should implement basic retry logic in your Python code to handle these transient issues.

Yes. Your queries are ephemeral. The server only processes the specific parameters you send, and no persistent logs of your climate data lookups exist on our infrastructure.

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