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How to Use the Urbanise MCP in Vercel AI SDK

Stream data from the Urbanise MCP Server directly into your React/Next.js UI with the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Urbanise MCP to Vercel AI SDK

Create your Vinkius account to connect Urbanise 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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Check API Status with Vercel AI SDK

Your agent confirms connectivity using `check_api_health`. This lets you verify that the Urbanise MCP Server is actually running and reachable before your users try to hit it. It’s a quick, reliable check. You can build a status dashboard showing real-time health data for any connected service.

Manage Facility Assets via Vercel AI SDK

Need a list of infrastructure equipment? Call `list_facility_assets` to pull all recorded assets. The results stream right into your UI, so the user sees the asset list populating without waiting for a spinner. You can process this data client-side and display it in tables or cards immediately.

List Property Occupants using Vercel AI SDK

Gather resident details by running `list_property_occupants`. This tool provides names, ownership status, and other residency data. The output streams instantly into your application. Use this to build a directory or a dashboard view that updates live as the data arrives.

Setup guide

Set up Urbanise 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Urbanise tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Urbanise transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Urbanise. 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.

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 Urbanise MCP in Vercel AI SDK

Your AI client calls the MCP Server endpoint, and the results stream directly into your frontend. This means you get real-time data updates in React or Next.js, bypassing traditional loading states.
The `list_maintenance_jobs` tool lets you retrieve all active and scheduled facility maintenance tasks managed by the server. You'll see job titles, descriptions, and status updates right in your streamed UI.
Yep. Just call `list_property_plans`. The MCP Server provides a complete inventory of all available property plans, letting you build out plan selection interfaces in your app.
Yes. You can use `list_financial_data` to retrieve ledger and billing info. This data streams directly into your client, so you're always seeing up-to-the-minute financial records.
This server handles resident and owner details via `list_property_occupants`. This includes names, ownership status, and other personal identification information.

Start using the Urbanise MCP today

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Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Urbanise. Just plug in your AI agents and start using Vinkius.

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