How to Use the NCREIF Custom Query MCP in AutoGen

Enable multi-agent debates on real estate benchmarks with NCREIF Custom Query.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect NCREIF Custom Query MCP to AutoGen

Create your Vinkius account to connect NCREIF Custom Query 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.

GDPR Free for Subscribers

Setup NCREIF Custom Query with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate market trends using `execute_query`

Assign one agent to run `execute_query` while another reviews the findings for data anomalies. This allows your team to debate the validity of specific regional benchmarks. Your agents will negotiate based on the actual SQL results returned from the NCREIF database. It turns data gathering into a collaborative and critical process.

Cross-reference `get_historical_npi` in agent discussions

Have your performance agent pull historical data while the strategy agent critiques the trend lines. They can challenge each other until they agree on the interpretation of the NPI data. This prevents individual agents from making assumptions based on incomplete figures. The conversation stays focused on the hard numbers pulled from the source.

Validate decisions with `get_predefined_kpi`

Use this tool to provide a baseline for your multi-agent system. One agent can pull the KPI, and another can verify it against current portfolio targets. This creates a system of checks and balances where every performance metric is vetted before it reaches your final report. It ensures consensus is based on verified institutional data.

Setup guide

Set up NCREIF Custom Query 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 NCREIF Custom Query 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="NCREIF Custom Query_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent NCREIF Custom Query 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="NCREIF Custom Query_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent NCREIF Custom Query 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 NCREIF. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect NCREIF Custom Query now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about NCREIF Custom Query MCP in AutoGen

The McpToolAdapter maps the tools into the agent's available actions. Agents then decide collectively when to call the server based on their assigned roles and the discussion progress.

Yes, you can define separate assistant agents with access to the same server. They will manage their own calls, allowing for parallel data collection or comparison.

The adapter handles all schema conversions, so you just pass the tool list to your agents. It removes the need for manual configuration of the interaction between the agents and the server.

You design a critic agent to oversee the debate. It can force the other agents to re-run queries or justify their conclusions based on the output of the tools.

You control access by assigning specific tools to specific agents. The Vinkius endpoint ensures that only authorized calls can touch the underlying NPI database.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript