KeepTrack Space Intelligence MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect KeepTrack Space Intelligence through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="KeepTrack Space Intelligence Assistant",
instructions=(
"You help users interact with KeepTrack Space Intelligence. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from KeepTrack Space Intelligence"
)
print(result.final_output)
asyncio.run(main())
* 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 KeepTrack Space Intelligence MCP Server
Equip your AI agent with real-time orbital intelligence through the KeepTrack MCP server. This integration provides instant access to a massive database of satellites, space debris, and other objects orbiting the Earth. Your agent can search for satellites by name, retrieve detailed metadata (including NORAD IDs, country of origin, and launch dates), and monitor the most recent objects launched into space. Whether you are conducting aerospace research, tracking telecommunications assets, or exploring orbital mechanics, your agent acts as a dedicated space operations analyst through natural conversation.
The OpenAI Agents SDK auto-discovers all 3 tools from KeepTrack Space Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries KeepTrack Space Intelligence, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Satellite Search — Find satellites and orbital objects by name or keyword.
- Metadata Retrieval — Access exhaustive info including NORAD IDs, orbit types, and country data.
- Launch Monitoring — Retrieve a list of the most recent objects deployed into orbit.
- Orbital Auditing — Track specific satellite constellations like Starlink or GPS.
The KeepTrack Space Intelligence MCP Server exposes 3 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 KeepTrack Space Intelligence to OpenAI Agents SDK via MCP
Follow these steps to integrate the KeepTrack Space Intelligence 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 3 tools from KeepTrack Space Intelligence
Why Use OpenAI Agents SDK with the KeepTrack Space Intelligence MCP Server
OpenAI Agents SDK provides unique advantages when paired with KeepTrack Space Intelligence 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
KeepTrack Space Intelligence + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the KeepTrack Space Intelligence MCP Server delivers measurable value.
Automated workflows: build agents that query KeepTrack Space Intelligence, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries KeepTrack Space Intelligence, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through KeepTrack Space Intelligence tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query KeepTrack Space Intelligence to resolve tickets, look up records, and update statuses without human intervention
KeepTrack Space Intelligence MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect KeepTrack Space Intelligence to OpenAI Agents SDK via MCP:
get_recent_space_launches
Get most recent space launches
get_satellite_details
Get details for a specific satellite
search_satellites
Search for satellites by name
Example Prompts for KeepTrack Space Intelligence in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with KeepTrack Space Intelligence immediately.
"Search for satellites named 'Starlink'."
Troubleshooting KeepTrack Space Intelligence MCP Server with OpenAI Agents SDK
Common issues when connecting KeepTrack Space Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
KeepTrack Space Intelligence + OpenAI Agents SDK FAQ
Common questions about integrating KeepTrack Space Intelligence MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect KeepTrack Space Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect KeepTrack Space Intelligence to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.