What is the difference between DONKI and SWPC?

DONKI is NASA's historical database of space weather events with detailed analysis. SWPC (Space Weather Prediction Center, under NOAA) focuses on real-time monitoring and forecasting. They complement each other.

What happens during a Geomagnetic Storm?

Geomagnetic storms, triggered by solar activity, can cause auroras, disrupt satellite communications, affect GPS accuracy, and in extreme cases, induce currents that trip electrical grids.

How long does it take for a CME to reach Earth?

Coronal Mass Ejections typically take 1 to 5 days to reach Earth, depending on their speed, which can range from 250 km/s to over 3,000 km/s.

NASA DONKI — Space Weather Intelligence MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: NASA DONKI — Space Weather Intelligence
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NASA DONKI — Space Weather Intelligence through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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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="NASA DONKI — Space Weather Intelligence Assistant",
            instructions=(
                "You help users interact with NASA DONKI — Space Weather Intelligence. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from NASA DONKI — Space Weather Intelligence"
        )
        print(result.final_output)

asyncio.run(main())

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About NASA DONKI — Space Weather Intelligence MCP Server

DONKI (Database Of Notifications, Knowledge, Information) is NASA's comprehensive space weather database.

The OpenAI Agents SDK auto-discovers all 7 tools from NASA DONKI — Space Weather Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NASA DONKI — Space Weather Intelligence, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

7 Event Types

☀️ CME — Coronal Mass Ejections
🔥 Solar Flares — C, M, X class
🧲 Geomagnetic Storms — Kp ≥ 4
💥 Interplanetary Shocks
⚡ Solar Energetic Particles
🛡️ Radiation Belt Events
📡 All Notifications (unified feed)

The NASA DONKI — Space Weather Intelligence MCP Server exposes 7 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 NASA DONKI — Space Weather Intelligence to OpenAI Agents SDK via MCP

Follow these steps to integrate the NASA DONKI — Space Weather Intelligence MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 7 tools from NASA DONKI — Space Weather Intelligence

Why Use OpenAI Agents SDK with the NASA DONKI — Space Weather Intelligence MCP Server

OpenAI Agents SDK provides unique advantages when paired with NASA DONKI — Space Weather Intelligence through the Model Context Protocol.

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

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

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

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

NASA DONKI — Space Weather Intelligence + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the NASA DONKI — Space Weather Intelligence MCP Server delivers measurable value.

Automated workflows: build agents that query NASA DONKI — Space Weather Intelligence, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries NASA DONKI — Space Weather Intelligence, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through NASA DONKI — Space Weather Intelligence tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query NASA DONKI — Space Weather Intelligence to resolve tickets, look up records, and update statuses without human intervention

NASA DONKI — Space Weather Intelligence MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect NASA DONKI — Space Weather Intelligence to OpenAI Agents SDK via MCP:

get_cme

CMEs are massive bursts of solar wind and magnetic fields from the Sun. Earth-directed CMEs cause geomagnetic storms and aurora. Default: last 30 days. Get Coronal Mass Ejection (CME) events from NASA DONKI

get_donki_notifications

A unified feed of all space weather events: CMEs, flares, storms, shocks, and radiation events. Good for a quick overview of recent solar activity. Get all recent DONKI space weather notifications

get_geomagnetic_storms

Includes Kp index and linked CME/shock data. Storms above Kp=7 are severe, Kp=9 is extreme. Affects power grids, GPS, satellites, and enables aurora at low latitudes. Get geomagnetic storm events from NASA DONKI

get_interplanetary_shocks

Shocks often precede geomagnetic storms and are caused by CME-driven disturbances in the solar wind. Get interplanetary shock wave events from NASA DONKI

get_radiation_belt

The Van Allen radiation belts can be energized during geomagnetic storms, posing risks to satellites in medium Earth orbit. Get radiation belt enhancement events from NASA DONKI

get_solar_energetic_particles

SEPs are dangerous to astronauts and can damage satellite electronics. Get Solar Energetic Particle (SEP) events from NASA DONKI

get_solar_flares

Classes: C (common), M (moderate), X (extreme). X-class flares cause radio blackouts and satellite disruption. Includes begin/peak/end times, active region, and instruments that detected it. Get solar flare events by class (C, M, X) from NASA DONKI

Example Prompts for NASA DONKI — Space Weather Intelligence in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NASA DONKI — Space Weather Intelligence immediately.

"Were there any solar flares this month?"

"Were there any major geomagnetic storms last year?"

"Check if any interplanetary shocks are approaching."

Troubleshooting NASA DONKI — Space Weather Intelligence MCP Server with OpenAI Agents SDK

Common issues when connecting NASA DONKI — Space Weather Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

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

Agent not calling tools

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

NASA DONKI — Space Weather Intelligence + OpenAI Agents SDK FAQ

Common questions about integrating NASA DONKI — Space Weather Intelligence MCP Server with OpenAI Agents SDK.

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.