How to Use the KeepTrack Space Intelligence MCP in OpenAI Agents SDK

Q: How do I initialize KeepTrack Space Intelligence in my OpenAI Agents SDK pipeline?

Install the package and pass the HTTP endpoint to MCPServerStreamableHttpParams. Your OpenAI Agents SDK agent auto-discovers this MCP Server instantly.

Q: Does KeepTrack Space Intelligence support agent handoffs in OpenAI Agents SDK?

Yes, it does. You can have a routing agent run searchsatellites and then hand the payload off to a specialized orbital mechanics agent that calls getsatellitedetails.

Monitor orbital payloads and debris directly inside your OpenAI Agents SDK production pipelines with zero manual configuration.

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Connect KeepTrack Space Intelligence MCP to OpenAI Agents SDK

Create your Vinkius account to connect KeepTrack 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.

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Setup KeepTrack Space Intelligence with OpenAI Agents SDK

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Parse orbital registries with `search_satellites`

The `search_satellites` tool lets your agent query active payloads and orbital debris by name. When your OpenAI Agents SDK system discovers this tool, it maps the query directly to the live registry, bypassing custom API integrations entirely. Your agent runs this search inside a secure sandboxed environment. The OpenAI dashboard traces every single query, giving you full visibility into which satellite names or debris catalog numbers your system looks up.

Pull live telemetry via `get_satellite_details`

The `get_satellite_details` tool extracts raw orbital parameters and operational specs for any cataloged ID. Your OpenAI Agents SDK agent uses this tool to check active telemetry data, including inclination and decay rates, before executing downstream logic. Because the SDK enforces strict runtime guardrails, you can validate the returned orbital values before they pass to other specialized agents. This setup keeps your automated collision risk assessments accurate and contained.

Track new launches with this MCP Server

The `get_recent_space_launches` tool pulls the latest orbital missions and payload configurations directly into your agent's context. Your OpenAI Agents SDK pipeline automatically schedules these checks to monitor newly deployed hardware in low-Earth orbit. Setting up this MCP Server requires just a few lines of code using `MCPServerStreamableHttp`. The tools auto-discover instantly, allowing your production agents to route launch data without manual mapping.

Setup guide

Set up KeepTrack 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 KeepTrack Space Intelligence tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives KeepTrack 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 KeepTrack 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="KeepTrack Space Intelligence Agent",
            instructions="You have access to KeepTrack Space Intelligence 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 KeepTrack Space Intelligence MCP in OpenAI Agents SDK

Install the package and pass the HTTP endpoint to `MCPServerStreamableHttpParams`. Your OpenAI Agents SDK agent auto-discovers this MCP Server instantly.

Yes, the SDK captures tool execution failures directly. If KeepTrack Space Intelligence returns a missing ID, your agent handles the error gracefully through the built-in tracing dashboard.

Yes, it does. You can have a routing agent run `search_satellites` and then hand the payload off to a specialized orbital mechanics agent that calls `get_satellite_details`.

You control tool exposure during agent initialization. Simply pass the specific tools you want from this MCP Server into the agent's tool list parameter to restrict its actions.

All satellite search queries and orbital telemetry and satellite registries lookups run inside an ephemeral V8 sandbox. Your telemetry data is never stored, and connection tokens are discarded immediately after the API call completes.

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