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How to Use the Arcsecond.io MCP in OpenAI Agents SDK

Plug Arcsecond.io into your OpenAI Agents SDK production pipeline to pull deep space data directly into your agent's decision loop.

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OpenAI Agents SDK

Connect Arcsecond.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect Arcsecond.io 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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Validate your Arcsecond.io astronomical data

Use `get_account_check` to confirm your connection status before your agent starts heavy lifting. This keeps your production environment clean from auth errors. Your agent runs these checks inside your existing `MCPServerStreamableHttp` context. It catches connection drops early, saving your compute budget.

Search and track objects with OpenAI Agents SDK

Call `search_objects` to find specific stars or galaxies based on your agent's current mission. It turns raw query strings into structured astronomical targets. Once found, your agent uses `get_object` to pull technical specs. This setup lets your agent make informed decisions based on real-time data instead of stale training sets.

Organize observations in your agent flow

Fetch telescope metadata with `list_telescopes` and `list_observing_sites` to verify local hardware status. Your agent knows exactly where and how it's looking at the sky. Use `list_night_logs` to review past activity. It helps the agent correlate previous findings with current data, keeping your project history consistent.

Setup guide

Set up Arcsecond.io 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. 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. 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 Arcsecond.io tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Arcsecond.io tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Arcsecond.io 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="Arcsecond.io Agent",
            instructions="You have access to Arcsecond.io tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Arcsecond.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Arcsecond.io MCP in OpenAI Agents SDK

Vinkius handles the heavy lifting by managing your endpoint tokens. You just plug the provided URL into your agent's config, and the server handles the rest.
Absolutely. You can set `cacheToolsList=True` in your setup to speed up discovery. This keeps your agent responsive without constant re-fetching.
It can. Your agent maps its own logic to these seven tools, allowing it to search and verify data without you writing manual bridge code.
The server keeps your session ephemeral. Data flows through the connection and vanishes once the process ends, leaving nothing behind.
Your observation logs stay locked behind your credentials. The MCP server only reads what you explicitly authorize, ensuring your private research logs remain yours alone.

Start using the Arcsecond.io MCP today

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