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NCREIF Custom Query MCP Server for AutoGen 3 tools — connect in under 2 minutes

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Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add NCREIF Custom Query as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="ncreif_custom_query_agent",
            tools=tools,
            system_message=(
                "You help users with NCREIF Custom Query. "
                "3 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
NCREIF Custom Query
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* 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 NCREIF Custom Query MCP Server

Empower your AI agents with institutional real estate intelligence. This server provides programmatic access to the NCREIF Query Tool API, allowing for deep analysis of the NCREIF Property Index (NPI), Fund Index (ODCE), and specialized timberland/farmland data.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use NCREIF Custom Query tools. Connect 3 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

  • Custom Analytics — Execute SQL-like queries to calculate income returns, appreciation, and total returns
  • Index Monitoring — Access historical and real-time performance data for major US real estate indices
  • Predefined KPIs — Quickly retrieve key metrics like Cap Rates and Occupancy percentages
  • Granular Filtering — Filter by property type, region, CBSA, and more using powerful where clauses

The NCREIF Custom Query MCP Server exposes 3 tools through the Vinkius. Connect it to AutoGen 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 NCREIF Custom Query to AutoGen via MCP

Follow these steps to integrate the NCREIF Custom Query MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 3 tools from NCREIF Custom Query automatically

Why Use AutoGen with the NCREIF Custom Query MCP Server

AutoGen provides unique advantages when paired with NCREIF Custom Query through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use NCREIF Custom Query tools to solve complex tasks

02

Role-based architecture lets you assign NCREIF Custom Query tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive NCREIF Custom Query tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes NCREIF Custom Query tool responses in an isolated environment

NCREIF Custom Query + AutoGen Use Cases

Practical scenarios where AutoGen combined with the NCREIF Custom Query MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries NCREIF Custom Query while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from NCREIF Custom Query, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using NCREIF Custom Query data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process NCREIF Custom Query responses in a sandboxed execution environment

NCREIF Custom Query MCP Tools for AutoGen (3)

These 3 tools become available when you connect NCREIF Custom Query to AutoGen via MCP:

01

execute_query

Execute a custom NCREIF query

02

get_historical_npi

Get historical NPI returns

03

get_predefined_kpi

Get predefined KPI data

Example Prompts for NCREIF Custom Query in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with NCREIF Custom Query immediately.

01

"Show NPI total returns for the last 4 quarters."

Troubleshooting NCREIF Custom Query MCP Server with AutoGen

Common issues when connecting NCREIF Custom Query to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

NCREIF Custom Query + AutoGen FAQ

Common questions about integrating NCREIF Custom Query MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call NCREIF Custom Query tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect NCREIF Custom Query to AutoGen

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.