ARGUS Cloud MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ARGUS Cloud 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="ARGUS Cloud Assistant",
instructions=(
"You help users interact with ARGUS Cloud. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ARGUS Cloud"
)
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 ARGUS Cloud MCP Server
The ARGUS Cloud MCP Server provides a high-level natural language interface to your Altus Group commercial real estate (CRE) management platform. Empower your AI agent to monitor your asset performance, audit portfolio health, and track real-time notifications directly from your workflow.
The OpenAI Agents SDK auto-discovers all 6 tools from ARGUS Cloud through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ARGUS Cloud, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Capabilities
- Asset Management — List all commercial properties in your account and retrieve detailed metadata including addresses and types.
- Portfolio Oversight — Access and analyze your CRE portfolios to see total asset counts and high-level configurations.
- Valuation Tracking — Monitor the latest valuation amounts for your properties to stay on top of market trends.
- Alerts & Notifications — Retrieve recent system alerts and notifications to ensure timely response to property-level issues.
- CRE Intelligence — Gain instant insights into your real estate investments without navigating complex financial models.
- Secure API Access — Uses your ARGUS Cloud API key for safe and authenticated communication with your assets.
The ARGUS Cloud MCP Server exposes 6 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 ARGUS Cloud to OpenAI Agents SDK via MCP
Follow these steps to integrate the ARGUS Cloud 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 6 tools from ARGUS Cloud
Why Use OpenAI Agents SDK with the ARGUS Cloud MCP Server
OpenAI Agents SDK provides unique advantages when paired with ARGUS Cloud 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
ARGUS Cloud + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ARGUS Cloud MCP Server delivers measurable value.
Automated workflows: build agents that query ARGUS Cloud, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ARGUS Cloud, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ARGUS Cloud tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ARGUS Cloud to resolve tickets, look up records, and update statuses without human intervention
ARGUS Cloud MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect ARGUS Cloud to OpenAI Agents SDK via MCP:
get_account_check
Verify ARGUS account connection
get_asset
Get details for a specific asset
get_portfolio
Get details for a specific portfolio
list_assets
List all commercial real estate assets in your ARGUS account
list_notifications
List recent alerts and notifications from ARGUS
list_portfolios
List all asset portfolios
Example Prompts for ARGUS Cloud in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ARGUS Cloud immediately.
"List all commercial assets in my account."
"Show me the latest valuation for 'Sunrise Office Plaza'."
"Are there any recent alerts from ARGUS?"
Troubleshooting ARGUS Cloud MCP Server with OpenAI Agents SDK
Common issues when connecting ARGUS Cloud to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ARGUS Cloud + OpenAI Agents SDK FAQ
Common questions about integrating ARGUS Cloud 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 ARGUS Cloud 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 ARGUS Cloud to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
