How to Use the NASA Earth — Full-Disk Imagery & Natural Events MCP in OpenAI Agents SDK

Q: How does NASA Earth — Full-Disk Imagery & Natural Events integrate with OpenAI Agents SDK?

You connect the server using the MCPServerStreamableHttp class. Once initialized, the SDK auto-discovers every tool, letting your agents query satellite imagery and event logs instantly.

Q: Can I use NASA Earth — Full-Disk Imagery & Natural Events to trigger OpenAI Agents SDK tasks?

Yes, you can script your agent to poll for new entries via getnaturalevents. When a new event appears, your agent can execute downstream logic based on the coordinates and metadata returned.

Q: What is the update frequency for imagery?

The DSCOVR satellite captures images periodically. Use getepicdates to verify the latest availability before calling the image tools.

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Connect NASA Earth — Full-Disk Imagery & Natural Events MCP to OpenAI Agents SDK

Create your Vinkius account to connect NASA Earth — Full-Disk Imagery & Natural Events 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 NASA Earth — Full-Disk Imagery & Natural Events with OpenAI Agents SDK

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Full-disk visual monitoring

Feed current Earth imagery directly into your agent logic. Use `get_epic_images` to grab the latest DSCOVR data for your diagnostic pipelines. These high-altitude shots provide a macro-view of the planet. Your agent can pull these frames to cross-reference environmental patterns without leaving the SDK environment.

Automated natural event tracking

Trigger your agent response based on live data from EONET. The `get_natural_events` tool exposes active wildfires, storms, and seismic activity for automated processing. Filter results by category using `get_event_categories` to focus your agent on specific threats. It keeps your decision-making loops grounded in verifiable, government-sourced data.

Historical data lookups

Query past observations to build contextual baselines for your agents. Use `get_epic_dates` to identify specific timeframes before running `get_epic_by_date` to pull archived imagery. This approach lets you analyze how specific weather events developed over time. It gives your system the depth required for long-term pattern recognition.

Setup guide

Set up NASA Earth — Full-Disk Imagery & Natural Events 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 NASA Earth — Full-Disk Imagery & Natural Events tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives NASA Earth — Full-Disk Imagery & Natural Events tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate NASA Earth — Full-Disk Imagery & Natural Events 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="NASA Earth — Full-Disk Imagery & Natural Events Agent",
            instructions="You have access to NASA Earth — Full-Disk Imagery & Natural Events tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about NASA Earth — Full-Disk Imagery & Natural Events MCP in OpenAI Agents SDK

You connect the server using the `MCPServerStreamableHttp` class. Once initialized, the SDK auto-discovers every tool, letting your agents query satellite imagery and event logs instantly.

Yes, you can script your agent to poll for new entries via `get_natural_events`. When a new event appears, your agent can execute downstream logic based on the coordinates and metadata returned.

The server transmits raw JSON from public NASA endpoints. Your agent client handles the data locally, ensuring your internal processing logic remains isolated from external traffic.

The DSCOVR satellite captures images periodically. Use `get_epic_dates` to verify the latest availability before calling the image tools.

NASA enforces rate limits on their public APIs. Keep your polling intervals reasonable to avoid 429 errors during high-demand periods.

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