How to Use the NASA Exoplanets — Worlds Beyond Our Solar System MCP in OpenAI Agents SDK

Q: Can my agent combine data from getplanetstats and gethabitablezone?

Yes. A common pattern is to have an agent call getplanetstats to understand the overall discovery landscape, then use gethabitablezone to focus on specific targets. The OpenAI SDK makes it easy to chain these calls together logically.

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Connect NASA Exoplanets — Worlds Beyond Our Solar System MCP to OpenAI Agents SDK

Create your Vinkius account to connect NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System with OpenAI Agents SDK

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Perplexity

Find Potentially Habitable Worlds

The `get_habitable_zone` tool pulls a list of exoplanets where liquid water might exist. It's the starting point for any search for life. With the OpenAI Agents SDK, this isn't just a data pull. Your agent can fetch this list, then automatically hand it off to a second, specialized agent to cross-reference against stellar flare data. The SDK's guardrails ensure each step is validated before execution, building a reliable discovery pipeline instead of just running a script.

Your OpenAI Agents SDK Research Assistant

Use the `query_confirmed_planets` tool to search NASA's entire catalog. Your agent can now find planets by name, discovery method, or the year they were found, and get back hard numbers like orbital period and mass. This isn't a black box. The OpenAI dashboard gives you full tracing on agent activity. You can see exactly why your agent chose to search for planets from the 'TESS' facility and how it used the results. It’s a clear, auditable process for doing research.

Analyze Kepler and TESS Data

The `get_transit_planets` tool delivers raw data from the most successful planet-hunting missions. You get a clean list of every world discovered by watching for the dip in a star's light. This MCP Server provides the raw data; your agent system turns it into answers. Because the SDK supports agent handoffs, one agent can pull the transit list while another begins crunching the numbers to find, for example, planets with the shortest orbital periods. The whole process runs automatically.

Setup guide

Set up NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System Agent",
            instructions="You have access to NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System MCP in OpenAI Agents SDK

Just connect the MCP server to your Agent constructor. Your agent will automatically discover the `get_habitable_zone` tool and can call it to get a list of candidate worlds. You can then have it use other tools to refine the search.

Yes. A common pattern is to have an agent call `get_planet_stats` to understand the overall discovery landscape, then use `get_habitable_zone` to focus on specific targets. The OpenAI SDK makes it easy to chain these calls together logically.

This server is a product on the Vinkius Marketplace and requires a subscription. Your OpenAI Agents SDK usage is separate and subject to OpenAI's own pricing.

Start with a single goal, like finding all planets discovered by the 'Kepler' facility. Build an agent that uses `query_confirmed_planets` to get that data. From there, you can add more complex logic and handoffs to other agents.

This server only deals with public NASA exoplanet data, like planetary names and orbital periods. Your agent's operations run in a Vinkius zero-trust sandbox, where each request is isolated and ephemeral. No session data is stored on the server.

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