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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Arcsecond.io MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
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
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.
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
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