Arcsecond.io MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Arcsecond.io 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="Arcsecond.io Assistant",
instructions=(
"You help users interact with Arcsecond.io. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Arcsecond.io"
)
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 Arcsecond.io MCP Server
The Arcsecond.io MCP Server provides a unified natural language interface to the world's astronomical data. Connect your Arcsecond account to your AI agent to search for celestial objects, manage observatory data, and track observation night logs seamlessly.
The OpenAI Agents SDK auto-discovers all 7 tools from Arcsecond.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Arcsecond.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Celestial Object Search — Search for stars, galaxies, planets, and more to retrieve official names, types, and precise coordinates (RA/Dec).
- Object Metadata — Access detailed astrophysical data, including visual magnitude and classifications for millions of objects.
- Observatory Management — List observing sites, telescopes, and instruments associated with your observatory subdomain.
- Data Tracking — Access datasets and night logs to monitor ongoing observations and historical data collections.
- Night Log Oversight — Retrieve detailed logs of observations and calibrations organized by local noon-to-noon cycles.
- Global Data Access — Interface with a vast network of astronomical databases through a single, consistent API.
The Arcsecond.io MCP Server exposes 7 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 Arcsecond.io to OpenAI Agents SDK via MCP
Follow these steps to integrate the Arcsecond.io 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 7 tools from Arcsecond.io
Why Use OpenAI Agents SDK with the Arcsecond.io MCP Server
OpenAI Agents SDK provides unique advantages when paired with Arcsecond.io 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
Arcsecond.io + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Arcsecond.io MCP Server delivers measurable value.
Automated workflows: build agents that query Arcsecond.io, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Arcsecond.io, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Arcsecond.io tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Arcsecond.io to resolve tickets, look up records, and update statuses without human intervention
Arcsecond.io MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Arcsecond.io to OpenAI Agents SDK via MCP:
get_account_check
Verify Arcsecond account connection
get_object
Get details for a specific astronomical object
list_datasets
List datasets available for an observatory
list_night_logs
List observation night logs for an observatory
list_observing_sites
List observing sites for an observatory
list_telescopes
List telescopes for an observatory
search_objects
Search for astronomical objects (stars, galaxies, planets)
Example Prompts for Arcsecond.io in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Arcsecond.io immediately.
"Search for the 'Andromeda Galaxy' and get its coordinates."
"List all observing sites for the 'lco' observatory."
"Show me recent night logs for subdomain 'my-observatory'."
Troubleshooting Arcsecond.io MCP Server with OpenAI Agents SDK
Common issues when connecting Arcsecond.io to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Arcsecond.io + OpenAI Agents SDK FAQ
Common questions about integrating Arcsecond.io 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 Arcsecond.io 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 Arcsecond.io to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.