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Green Street MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Green Street through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="Green Street Assistant",
            instructions=(
                "You help users interact with Green Street. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Green Street"
        )
        print(result.final_output)

asyncio.run(main())
Green Street
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Green Street MCP Server

Connect your Green Street account to any AI agent and take full control of your commercial real estate (CRE) and REIT intelligence through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Green Street through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Green Street, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Company Orchestration — List all listed REITs and companies in your coverage and retrieve primary financial summaries natively
  • Live Metric Retrieval — Resolve deep specific metrics including Net Asset Values (NAVs), earnings (FFO/FAD), and capitalization rates flawlessly
  • Market Analytics — Extract market-level analytics and grades to understand competitive rankings across property sectors synchronously
  • Strategic Forecasting — Access forward-looking market projections and NOI forecasts generated by Green Street's advisory teams natively
  • News Intelligence — Search and retrieve curated commercial real estate news articles and excerpts to stay ahead of market shifts synchronously
  • Portfolio Navigation — Identify geographic and property-type breakouts for specific REIT portfolios to audit exposure flawlessly

The Green Street MCP Server exposes 12 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 Green Street to OpenAI Agents SDK via MCP

Follow these steps to integrate the Green Street MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 12 tools from Green Street

Why Use OpenAI Agents SDK with the Green Street MCP Server

OpenAI Agents SDK provides unique advantages when paired with Green Street through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Green Street + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Green Street MCP Server delivers measurable value.

01

Automated workflows: build agents that query Green Street, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Green Street, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Green Street tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Green Street to resolve tickets, look up records, and update statuses without human intervention

Green Street MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Green Street to OpenAI Agents SDK via MCP:

01

get_company_summary

Get financial summary for a specific company by symbol

02

get_earnings_metrics

Get FFO/FAD earnings data for a company

03

get_forecast_scenarios

Retrieve forward-looking market and sector projections

04

get_historical_transactions

Retrieve historical transaction summaries

05

get_market_grades

Get grades and rankings for a specific market

06

get_market_projections

Get forward-looking NOI projections for a market

07

get_market_sector_summary

Get analytics and grades for a specific market sector

08

get_nav_estimates

Get Net Asset Value (NAV) estimates for a company

09

get_news_articles

Search and retrieve commercial real estate news

10

get_portfolio_breakout

Get geographic and property-type breakouts for a portfolio

11

list_companies

List all REITs and real estate companies covered by Green Street

12

list_sectors

List available real estate sectors

Example Prompts for Green Street in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Green Street immediately.

01

"List all listed REITs in the Industrial sector"

02

"What is the market grade for the New York Office market?"

03

"Show me the portfolio breakout for Prologis (PLD)"

Troubleshooting Green Street MCP Server with OpenAI Agents SDK

Common issues when connecting Green Street to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Green Street + OpenAI Agents SDK FAQ

Common questions about integrating Green Street MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Green Street to OpenAI Agents SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.