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How to Use the Zoopla MCP in Vercel AI SDK

Stream real estate data results directly into your Next.js app with Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Zoopla MCP to Vercel AI SDK

Create your Vinkius account to connect Zoopla 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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Show Sold Price Trends Live

The `average_sold_prices` tool lets you grab the average sold prices for any given area. When a user clicks 'Show Prices,' your client fetches the data and streams it straight into the React UI, so they see numbers appearing in real-time, not waiting on a spinner. This streaming capability is perfect for frontends because the end user sees the AI working live as the results appear piece by piece. You build user-facing apps where immediate feedback matters.

Generate Local Area Graphs

Use `local_info_graphs` to retrieve URLs for graphs showing local area statistics. Your agent calls this tool, gets a list of graph links, and your component displays those images immediately. It's simple: you get the URL, you display the image. This works great in an Edge Function setup because it keeps data retrieval fast while keeping the user experience snappy.

List Properties for Sale or Rent

The `property_listings` tool pulls a list of properties that are currently for sale or rent in a specified area. You pass the location, and your client handles the returned array of listings. Since this is running within the AI SDK's stream context, you can process and display these property details right as they come back from the server side.

Setup guide

Set up Zoopla 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 Zoopla 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 Zoopla 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 Zoopla. 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 Zoopla MCP in Vercel AI SDK

You'll use `createMCPClient` and pass in the Zoopla MCP Server endpoint. Once connected, your agent uses `mcpClient.tools()` to access all available real estate functions. The key is calling `streamText` so that data appears live in the UI.
This MCP Server handles five specific types of real estate analysis. You can get average sold prices, local graphs, current listings, rich street lists, and the overall Zed-Index.
Yes, absolutely. Since it's built for React/Next.js frontends, the SDK streams results directly into the UI. This means users see property listings or graph URLs appearing in real-time rather than waiting for a single, large load.
It supports an `authProvider` for OAuth. You'll handle the user authentication flow through this provider before making any calls to the MCP Server.
The primary data touched is real estate market statistics, specifically property listings and historical sold price averages for UK areas.

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