How to Use the NASA Full — Ultimate Space Intelligence MCP in OpenAI Agents SDK

Q: Can NASA Full — Ultimate Space Intelligence and OpenAI Agents SDK track solar flares?

Yes. The server includes the getsolarflares and getdonkinotifications endpoints. Your agent pulls exact start and peak times for C, M, and X-class flares.

Q: How does the MCP Server handle data privacy when searching NASA patents?

The server routes your searchpatents queries strictly through an isolated V8 sandbox. Zero user data persists after the HTTP session drops. Your search terms hit the public NASA registry and vanish.

Build production-ready space intelligence agents with OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect NASA Full — Ultimate Space Intelligence MCP to OpenAI Agents SDK

Create your Vinkius account to connect NASA Full — Ultimate Space Intelligence 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.

GDPR Free for Subscribers

Setup NASA Full — Ultimate Space Intelligence with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Connect your OpenAI Agents SDK to 32 NASA endpoints

The `get_neo_feed` and `get_close_approaches` tools feed live near-Earth asteroid data straight into your agent's context. Your AI client pulls diameter, velocity, and miss distance without you writing a single API wrapper. It handles the JSON parsing so your agent can focus on evaluating planetary defense threats. Handoffs make this setup powerful. You can build one specialized agent that monitors `get_cme` for solar mass ejections, and another that checks `get_geomagnetic_storms` to assess power grid risks. The OpenAI framework traces every tool call while the MCP standard manages the underlying HTTP connections.

Query 5,700 exoplanets with strict execution guardrails

The `query_confirmed_planets` tool filters transit and radial velocity discoveries by facility, year, and mass. Your agent hits the Exoplanet Archive and retrieves orbital periods and equilibrium temperatures. If the model tries to hallucinate a query parameter, the SDK's built-in guardrails block the execution before it reaches the NASA servers. This setup works perfectly for cross-referencing deep space data. An agent can pull transit data via `get_transit_planets` and then check `get_habitable_zone` to isolate candidates capable of supporting liquid water. You get hard numbers instead of generated guesses.

Monitor live natural events and Mars rover feeds

The `get_natural_events` tool tracks wildfires, volcanic eruptions, and severe storms worldwide. You can map these coordinates against full-disk Earth imagery using the `get_epic_images` tool. The agent executes the entire sequence, pulling metadata and source links automatically. Rover telemetry requires the same direct access. Calling `get_mars_photos` fetches FHAZ and MAST camera shots from Curiosity based on specific Earth dates. Your production system logs the exact API responses, ensuring complete transparency when the agent outputs an analysis.

Setup guide

Set up NASA Full — Ultimate Space Intelligence 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 Full — Ultimate Space Intelligence tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives NASA Full — Ultimate Space Intelligence 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 Full — Ultimate Space Intelligence 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 Full — Ultimate Space Intelligence Agent",
            instructions="You have access to NASA Full — Ultimate Space Intelligence tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NASA. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect NASA Full — Ultimate Space Intelligence now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about NASA Full — Ultimate Space Intelligence MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance pointing to your endpoint URL. Pass it in the mcp_servers list when initializing your agent.

Yes. The server includes the get_solar_flares and get_donki_notifications endpoints. Your agent pulls exact start and peak times for C, M, and X-class flares.

You can enable caching for the tool list. Set cacheToolsList=True in your setup to speed up agent initialization. The actual NASA data requests remain live.

Writing 32 custom API wrappers takes weeks. This MCP Server registers every endpoint from APOD to the patent library instantly. Your agent auto-discovers the schema.

The server routes your search_patents queries strictly through an isolated V8 sandbox. Zero user data persists after the HTTP session drops. Your search terms hit the public NASA registry and vanish.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript