How to Use the Green Street MCP in OpenAI Agents SDK

Feed institutional real estate metrics directly to your OpenAI Agents SDK pipelines with zero-config tool discovery.

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Connect Green Street MCP to OpenAI Agents SDK

Create your Vinkius account to connect Green Street 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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Setup Green Street with OpenAI Agents SDK

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Evaluate REIT Portfolios with OpenAI Agents SDK

The `get_portfolio_breakout` tool extracts geographic and property-type allocations for any REIT covered by Green Street. Your agent pulls this breakdown, feeds it to a specialized sub-agent, and runs risk checks without manual data entry. You also get immediate access to `get_earnings_metrics` to track historical FFO and FAD performance. This combination lets your multi-agent system flag REITs with mismatched property profiles and weak cash flows before making capital calls.

Grade Local Markets and Sectors

The `get_market_grades` tool pulls objective rankings for specific US commercial real estate markets. Your AI client parses these grades to isolate top-performing submarkets, avoiding the manual work of scraping static PDF reports. To spot forward-looking shifts, this MCP Server exposes `get_market_projections` for net operating income. Run these side-by-side with historical transaction summaries from `get_historical_transactions` to spot yield-compression trends.

Calculate True Net Asset Value

The `get_nav_estimates` tool retrieves Green Street's proprietary NAV valuations for listed companies. Your agent compares these values against current trading prices to identify arbitrage opportunities in real-time. Use `get_company_summary` alongside these estimates to build a complete profile of a target firm. This setup gives your agent the exact numbers needed to draft investment memos or flag overvalued positions.

Setup guide

Set up Green Street 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

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

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 Green Street tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Green Street tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Green Street. 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 Green Street MCP in OpenAI Agents SDK

You initialize the MCPServerStreamableHttp class with the Vinkius endpoint URL. Pass this server instance inside the agent's initialization array, and the tools register themselves.

Yes, the server exposes the historical transaction summaries tool. Your agents can pull these records to analyze past cap rates and transaction pricing.

Vinkius handles the authorization layer using a single endpoint token. Your OpenAI Agents SDK code doesn't need to manage complex API keys or token rotations.

You control this by defining specific agent roles within your Python code. Only expose the market-grading tools to your research agent while keeping NAV data restricted to your valuation agent.

All requests for REIT financials and market grades run through an ephemeral V8 sandbox. Vinkius does not store your proprietary queries or the retrieved real estate metrics, keeping your investment strategies private.

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