• DATA
  • ANALYSIS
  • REPORTS
  • HUMAN

How to query regional real estate KPIs with your AI

Connect this MCP to your AI client to pull specific property metrics. Once connected, you can filter by region, asset type, or specific KPI.

Ask AI about this page

Short answer

How do I get specific regional real estate metrics using AI?

You ask your AI for the specific data points you need, like occupancy or cap rates, and specify the region or asset class. The AI uses the NCREIF Custom Query to filter the data and returns the exact numbers you requested. You'll see the specific results below.

Where your data lands

The results of your query

Your AI processes the request and delivers the data in these ways.

DATA

Direct KPI values

The AI pulls the exact cap rates or occupancy numbers you asked for. You get the raw metrics without digging through spreadsheets.

ANALYSIS

Regional comparisons

The AI compares metrics across different territories or asset types. This helps you spot trends between specific markets.

REPORTS

Structured summaries

The AI organizes the filtered data into a clean list or table. You can then copy this directly into your own documents.

HUMAN

Manual verification

You review the AI's output to ensure the filters matched your specific investment criteria. This step ensures the data is ready for your final report.

The workflow

What your AI does when a query arrives.

The AI handles the heavy lifting of searching and filtering the NCREIF dataset.

  1. Parse the request

    Your AI identifies which specific KPIs and which geographic regions you are targeting in your chat.

    get_predefined_kpi
  2. Filter the dataset

    The AI applies your constraints, such as asset type or specific timeframes, to the NCREIF data.

    get_predefined_kpi
  3. Extract metrics

    The AI pulls the specific values like cap rates or occupancy from the filtered results.

    get_predefined_kpi
  4. Format the answer

    The AI presents the requested data in a readable format that answers your question directly.

    get_predefined_kpi

Try it

Copy these to start.

Use these prompts to begin querying the NCREIF data.

Starting points

Swap out the regions and metrics in these examples to match your specific search.

NCREIF Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_VzyCbnu9T8cxJnoytEbL04bohh0vpWL42CP9VtUG/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — NCREIF capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ncreif-custom-query-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_VzyCbnu9T8cxJnoytEbL04bohh0vpWL42CP9VtUG/mcp"
    }
  }
}
Copy into chat04
  • What are the current cap rates for industrial properties in the Midwest?

  • Show me the occupancy trends for multi-family assets in the Sun Belt.

  • Compare the average cap rates between the Northeast and the Southeast regions.

  • Get the latest occupancy metrics for retail properties in California.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect NCREIF Custom Query once, then ask.

Follow the link to connect the MCP to your AI client. Your credentials stay encrypted and the setup is handled on our end.

Connect NCREIF Custom Query to your AI

FAQ

How this task behaves

  • 01

    Can the AI change the underlying NCREIF data?

    No. The AI can only read and filter the data provided by the tool.

  • 02

    Can I ask for metrics not included in the NCREIF dataset?

    No. The AI is limited to the specific KPIs available through the get_predefined_kpi tool.

  • 03

    Does the AI perform the actual investment decisions?

    No. The AI provides the data and the metrics, but you must perform the final analysis and decision making.

  • 04

    Can I export these results to an Excel file automatically?

    The AI provides the data in the chat interface. You will need to copy the results into your own spreadsheet.

  • 05

    How granular can the regional filtering get?

    The granularity depends on the specific regions and asset classes defined within the NCREIF data structure.

  • More questions about NCREIF Custom Query? The Connector page answers them. See everything the NCREIF Custom Query Connector can do

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