What does 'potentially hazardous' mean?

A Potentially Hazardous Asteroid (PHA) passes within 0.05 AU (~7.5 million km) and is larger than 140 meters. This doesn't mean it will hit Earth — just that its orbit warrants monitoring.

How frequently is the asteroid data updated?

The NeoWs API is updated daily with the latest orbital calculations and close approach tracking data from JPL's Center for Near Earth Object Studies.

Does this API include data on historical asteroid impacts?

Yes, the API provides access to fireball and bolide data, which tracks bright atmospheric meteor events detected by government sensors, including historical records.

NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Name: NASA Asteroids — Near-Earth Objects & Planetary Defense
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 5 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NASA Asteroids — Near-Earth Objects & Planetary Defense through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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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 Asteroids — Near-Earth Objects & Planetary Defense Assistant",
            instructions=(
                "You help users interact with NASA Asteroids — Near-Earth Objects & Planetary Defense. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from NASA Asteroids — Near-Earth Objects & Planetary Defense"
        )
        print(result.final_output)

asyncio.run(main())

NASA Asteroids — Near-Earth Objects & Planetary Defense

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server

Complete asteroid intelligence from NASA's NeoWs API and JPL's Center for Near Earth Object Studies (CNEOS).

The OpenAI Agents SDK auto-discovers all 5 tools from NASA Asteroids — Near-Earth Objects & Planetary Defense through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries NASA Asteroids — Near-Earth Objects & Planetary Defense, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

NEO Feed — Asteroids making close approaches this week
Asteroid Details — Size, orbit, velocity, hazard assessment
Close Approaches — Future Earth encounters from CNEOS
Fireballs — Atmospheric impacts detected by sensors
Browse Catalog — Paginated access to all known NEOs

The NASA Asteroids — Near-Earth Objects & Planetary Defense 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 NASA Asteroids — Near-Earth Objects & Planetary Defense to OpenAI Agents SDK via MCP

Follow these steps to integrate the NASA Asteroids — Near-Earth Objects & Planetary Defense 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 5 tools from NASA Asteroids — Near-Earth Objects & Planetary Defense

Why Use OpenAI Agents SDK with the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server

OpenAI Agents SDK provides unique advantages when paired with NASA Asteroids — Near-Earth Objects & Planetary Defense 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 Asteroids — Near-Earth Objects & Planetary Defense + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server delivers measurable value.

Automated workflows: build agents that query NASA Asteroids — Near-Earth Objects & Planetary Defense, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries NASA Asteroids — Near-Earth Objects & Planetary Defense, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through NASA Asteroids — Near-Earth Objects & Planetary Defense tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query NASA Asteroids — Near-Earth Objects & Planetary Defense to resolve tickets, look up records, and update statuses without human intervention

NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect NASA Asteroids — Near-Earth Objects & Planetary Defense to OpenAI Agents SDK via MCP:

get_close_approaches

Filter by distance threshold, date range, and minimum size. Critical for planetary defense monitoring. Get future close approaches of asteroids to Earth from JPL CNEOS

get_fireballs

Includes location, velocity, energy (kilotons of TNT equivalent), and altitude. Covers events worldwide. Get atmospheric fireball (bolide) events detected by US government sensors

get_neo_browse

Returns 20 asteroids per page. Use for exploring the complete known catalog of near-Earth objects. Browse the complete catalog of known near-Earth asteroids

get_neo_feed

Includes estimated diameter, velocity, miss distance, and whether potentially hazardous. Source: NASA NeoWs. Get near-Earth asteroids approaching within a date range

get_neo_lookup

Use SPK-IDs from the feed endpoint. Get detailed information about a specific asteroid by its NASA SPK-ID

Example Prompts for NASA Asteroids — Near-Earth Objects & Planetary Defense in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NASA Asteroids — Near-Earth Objects & Planetary Defense immediately.

"What asteroids are passing near Earth this week?"

"Are there any large asteroids approaching Earth next month?"

"Tell me about the recent fireball detected over the Pacific."

Troubleshooting NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server with OpenAI Agents SDK

Common issues when connecting NASA Asteroids — Near-Earth Objects & Planetary Defense 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 Asteroids — Near-Earth Objects & Planetary Defense + OpenAI Agents SDK FAQ

Common questions about integrating NASA Asteroids — Near-Earth Objects & Planetary Defense 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.