How to Use the NCREIF MCP in Mastra AI

Build resilient real estate workflows in Mastra AI using NCREIF data to automate institutional portfolio analysis.

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Connect NCREIF MCP to Mastra AI

Create your Vinkius account to connect NCREIF to Mastra AI 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 NCREIF with Mastra AI

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Automate index tracking with Mastra workflows

The `get_index_data` tool retrieves benchmark performance metrics for institutional commercial real estate. Mastra AI agents use this tool within multi-step workflows to automatically trigger portfolio rebalancing reviews when NCREIF index returns cross specific thresholds. By combining this tool with `list_indices`, you can build automated pipelines that track the NPI or ODCE index. If a query fails due to rate limits, Mastra handles retries automatically to keep your real estate workflows running.

Run automated property audits via Mastra AI MCP Server

The `get_property_returns` tool extracts asset-level performance metrics for indexed commercial properties. Your Mastra AI agent uses this tool to audit specific assets against NCREIF regional benchmarks without manual intervention. You can chain this with `list_properties` to run batch audits across an entire real estate portfolio. Mastra manages the execution order, ensuring that each property's returns are fetched and validated before generating the final audit report.

Analyze fund metrics with human-in-the-loop steps

The `get_fund_performance` tool pulls historical returns and yield metrics for institutional real estate funds. Mastra AI allows you to require human approval before your agent executes actions based on these fund performance metrics. By integrating `list_funds`, your Mastra workflow can automatically flag underperforming real estate funds and draft email alerts. The agent pauses for your sign-off before sending the comparison reports to your investment committee.

Setup guide

Set up NCREIF MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All NCREIF tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "ncreif-mcp-client",
  servers: {
    "ncreif-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "NCREIF Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to NCREIF tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent NCREIF transactions"
);
console.log(result.text);

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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.

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Common questions about NCREIF MCP in Mastra AI

Instantiate the MCP client with your Vinkius URL, retrieve the tools using `listTools`, and spread them into your Mastra AI agent configuration. This gives your agent immediate access to NCREIF institutional real estate indices.

Yes, Mastra AI can chain tools from this MCP Server sequentially. It's an easy way to analyze NCREIF regional trends before drilling down into specific property types using tools like `get_region_data`.

Mastra AI features a built-in workflow engine with automatic exponential backoff. If a call to `list_market_data` fails or hits a rate limit, the Mastra framework automatically retries the request to ensure NCREIF data continuity.

Yes, you can filter the MCP tools exposed to your Mastra agent. For example, you can grant access only to `list_properties` while blocking tools that retrieve sensitive fund-level returns.

Yes, all requests for NCREIF fund performance and property-level returns are routed through secure, short-lived V8 isolates on the MCP Server. Your proprietary real estate investment strategies and query parameters are never cached or used for model training.

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