How to Use the Green Street MCP in AutoGen

Q: How do I register the Green Street MCP server with my AutoGen agents?

Install the extension using pip install -U autogen-extmcp to get the required adapters. Then, use mcpservertools with your Vinkius URL and pass the resulting tools list directly to your AssistantAgent.

Q: How does AutoGen handle schema conversion for Green Street tools?

The McpToolAdapter automatically translates the server's schemas into the format AutoGen expects. You don't have to write any manual JSON schema conversion code to get the agents talking to the API.

Let your AutoGen agents debate commercial real estate transactions and valuation metrics to reach verified consensus.

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Connect Green Street MCP to AutoGen

Create your Vinkius account to connect Green Street to AutoGen 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 AutoGen

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Resolve Valuation Debates with AutoGen Agents

This MCP Server exposes `get_nav_estimates` to let your agents debate asset pricing using verified data. You can set up one agent to argue for conservative valuations while another uses the live NAV estimates to defend current pricing. They resolve these differences by pulling additional metrics like `get_earnings_metrics` to build a consensus. Instead of relying on a single model's guess, you get a reasoned decision backed by hard financial data.

Run Consensus-Driven Market Analysis

The `get_market_grades` tool provides the objective scoring your agents need to evaluate regional opportunities using this MCP Server. A research agent can pull these grades, while an analyst agent challenges the conclusions based on historical trends. By calling `get_market_projections`, the group can project net operating income and debate future performance. This multi-perspective approach ensures your investment theories are thoroughly stress-tested before you take action.

Audit Portfolio Allocation Across Teams

The `get_portfolio_breakout` tool extracts geographic and property-type allocations for specific REIT portfolios. Your agents can ingest this breakdown and cross-reference it with sector-specific risks to flag overexposure. Combining this with `get_forecast_scenarios` allows your team of agents to simulate market downturns. They can debate which properties are most vulnerable and output a structured risk assessment report automatically.

Setup guide

Set up Green Street MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Green Street tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Green Street_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Green Street data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Green Street_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Green Street data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

Install the extension using `pip install -U autogen-ext[mcp]` to get the required adapters. Then, use `mcp_server_tools` with your Vinkius URL and pass the resulting tools list directly to your `AssistantAgent`.

Yes, the server handles concurrent requests from different agents in your conversation group. An analyst agent can fetch transaction history while a strategist agent checks market projections at the same time.

The `McpToolAdapter` automatically translates the server's schemas into the format AutoGen expects. You don't have to write any manual JSON schema conversion code to get the agents talking to the API.

No, Vinkius handles the credentials on its secure servers, so your local environment only needs the single connection token. This keeps your local configuration clean and secure.

Your MCP queries pass through isolated V8 sandboxes that handle requests ephemerally without persistent storage. This architecture ensures your proprietary portfolio strategies and transaction queries remain completely private.

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