How to Use the ESA Near Earth Objects MCP in OpenAI Agents SDK

Build production-grade planetary defense tracking systems with the ESA Near Earth Objects MCP Server and OpenAI Agents SDK.

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Connect ESA Near Earth Objects MCP to OpenAI Agents SDK

Create your Vinkius account to connect ESA Near Earth Objects 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 ESA Near Earth Objects with OpenAI Agents SDK

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Perplexity

Parse the ESA Near Earth Objects MCP Server Risk Data

`get_risk_list` pulls the official ESA asteroid impact risk list directly into your agent's context. Your OpenAI agent reads the Palermo Scale values and cumulative impact probabilities straight from the source. You never guess the threat level based on summaries. The agent checks the actual math. Handoffs work perfectly for this workflow. One specialized agent scans `get_impact_table` for virtual impactors. If it spots a high-probability event, it triggers a secondary agent to run `get_object_orbital_elements` and verify the trajectory computation.

Track Ephemerides and Close Approaches

`get_object_ephemerides` generates precise right ascension, declination, and visual magnitude data for specific asteroids. Your agent feeds this telemetry into observation planning systems. You get exact sky positions at specific timesteps without manually querying the database. Run `get_upcoming_close_approaches` to monitor rocks heading our way. Built-in guardrails ensure your agent avoids hallucinating miss distances or dates. It pulls the raw ESA data, updated multiple times a day, and reports only the facts.

Target High-Priority Follow-Up Observations

`get_priority_list` isolates near-Earth objects with incomplete orbital arcs. These rocks need telescope time before we lose track of them entirely. Your agent can cross-reference this list with `get_special_risk_list` to find targets with heightened scientific interest for planetary defense. Native tracing means you see exactly when the agent calls `get_object_physical_properties`. You can audit the exact estimated diameters and albedo values the agent used to classify the threat. No silent failures occur here.

Setup guide

Set up ESA Near Earth Objects 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 ESA Near Earth Objects tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ESA Near Earth Objects tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ESA Near Earth Objects 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="ESA Near Earth Objects Agent",
            instructions="You have access to ESA Near Earth Objects 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 ESA Near Earth Objects MCP in OpenAI Agents SDK

Install openai-agents via pip. Instantiate MCPServerStreamableHttp with your endpoint URL. Pass it in the mcp_servers array when building your Agent.

Yes. Set cacheToolsList=True during initialization. This prevents the agent from re-fetching the full asteroid catalog on every loop.

It works natively. You can build a watcher agent that polls the status endpoint and hands off to a risk-assessment agent if the API connection drops.

You must URL-encode it before calling tools that require a specific name. Passing an unformatted string like '99942 Apophis' will fail.

The MCP protocol only reads public telemetry from the European Space Agency. Your OpenAI agent processes the right ascension and declination coordinates locally in memory, keeping your proprietary observation schedules completely private.

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