How to Use the CBRE Econometric Advisors (EA) MCP in Vercel AI SDK

Q: How do I filter assets using this server?

Call the searchcbreassets tool with your specific parameters. It returns the exact indices you need to populate your search results.

Stream real-time real estate market forecasts and cap rates directly into your Vercel AI SDK frontends.

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Connect CBRE Econometric Advisors (EA) MCP to Vercel AI SDK

Create your Vinkius account to connect CBRE Econometric Advisors (EA) to Vercel AI SDK 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 CBRE Econometric Advisors (EA) with Vercel AI SDK

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Live Market Data in Vercel AI SDK

Pipe `get_macroeconomic_data` directly into your React components for instant updates. Your users watch market indicators populate the UI as the agent fetches them. This MCP Server removes the lag of traditional data fetching. You get raw market numbers streaming into your app as soon as the client resolves the tool call.

Targeted Sector Analysis

Use `list_asset_sectors` and `get_market_sector_data` to narrow down your research. You don't need to parse massive CSV files when you can request specific metrics for a single sector. Your interface displays only the relevant vacancy rates and NOI figures. It keeps the user focused on the specific market trends they need to see right now.

Global Market Discovery

Query `list_cbre_markets` to map out available regions for your dashboard. Your agent can then drill down using `list_submarkets` to find hyper-local data. This setup allows you to build a geography selector that actually works. You provide the context and the client handles the data retrieval automatically.

Setup guide

Set up CBRE Econometric Advisors (EA) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all CBRE Econometric Advisors (EA) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent CBRE Econometric Advisors (EA) transactions",
});

console.log(text);
await mcpClient.close();

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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 CBRE EA. 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

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Common questions about CBRE Econometric Advisors (EA) MCP in Vercel AI SDK

Install the MCP client package and initialize it with your endpoint. Pass the tools from the server into your streamText configuration to start querying market data.

Yes, it streams tool output directly to the frontend. You see the values appear in your UI without waiting for a full page refresh.

It does, provided you use the correct transport protocol. The server is built to handle the low-latency requirements of edge computing.

Call the search_cbre_assets tool with your specific parameters. It returns the exact indices you need to populate your search results.

Vinkius isolates every session in a V8 sandbox. The server only touches public market indices and macro indicators, ensuring your internal logic remains isolated.

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