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How to Use the ARGUS Cloud MCP in OpenAI Agents SDK

Run production-grade OpenAI Agents SDK workflows with direct access to your ARGUS Cloud commercial real estate portfolios.

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OpenAI Agents SDK

Connect ARGUS Cloud MCP to OpenAI Agents SDK

Create your Vinkius account to connect ARGUS Cloud 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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Secure Real Estate Audits with OpenAI Agents SDK

The `get_account_check` tool verifies your ARGUS Cloud connection before your OpenAI Agents SDK agent runs any commercial portfolio queries. This initial check prevents your OpenAI Agents SDK pipeline from executing calls against invalid real estate credentials. Once verified, the OpenAI Agents SDK agent safely triggers downstream real estate workflows. This keeps your ARGUS Cloud commercial data pipeline secure and predictable via the MCP Server.

Multi-Agent Portfolio Reviews via MCP Server

The `list_portfolios` tool pulls your complete ARGUS Cloud portfolios directly into your OpenAI Agents SDK multi-agent environment. You can hand off raw real estate data from an OpenAI Agents SDK retrieval agent to a specialized analysis agent. The downstream OpenAI Agents SDK agent then uses `get_portfolio` to inspect specific ARGUS Cloud holdings. Built-in OpenAI Agents SDK tracing monitors these handoffs so you see exactly how your agents process valuation metrics.

Live Alert Tracking in Production Agents

The `list_notifications` tool feeds recent ARGUS Cloud alerts directly into your OpenAI Agents SDK guardrail system. Your OpenAI Agents SDK agent monitors these real estate alerts to flag sudden valuation drops in real time. By combining this notification feed with `get_asset`, the OpenAI Agents SDK agent inspects the flagged ARGUS Cloud property immediately. You get automated real estate alerts handled by production-grade OpenAI Agents SDK setups.

Setup guide

Set up ARGUS Cloud 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 ARGUS Cloud tools at runtime.

  3. 3

    Create your Agent

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

You install the OpenAI Agents SDK and initialize the streamable HTTP transport pointing to your Vinkius ARGUS Cloud MCP endpoint. Pass the ARGUS Cloud server instance directly into your OpenAI Agents SDK Agent constructor using the `mcp_servers` list.
Yes, you can write custom OpenAI Agents SDK input validators that verify parameters before executing ARGUS Cloud tools like `get_asset` or `get_portfolio`.
Setting `cacheToolsList=True` prevents your OpenAI Agents SDK agent from constantly fetching the ARGUS Cloud MCP tool definitions. This cuts down latency when pulling large commercial real estate datasets into OpenAI Agents SDK.
Yes, it does. You can have one agent run `list_assets` and pass the returned asset ID to a specialized underwriting agent.
Vinkius runs the ARGUS Cloud integration inside an isolated V8 sandbox, meaning your commercial property valuations and tenant alerts never leak to external OpenAI Agents SDK logs. No ARGUS Cloud data persists on the host after your agent finishes executing a tool.

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