How to Use the Zoopla MCP in Mastra AI

Q: Can Mastra AI connect Zoopla tools in complex workflows?

Yes. You use mcpClient.listTools() to expose all the Zoopla functions, allowing you to build conditional logic (if payment fails then retry) around real estate data retrieval.

Q: If I use Zoopla data with Mastra AI, what is the setup process?

You install @mastra/mcp and initialize the client. You then spread the available tools into your agent's toolset, giving you full control over the workflow execution.

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Create your Vinkius account to connect Zoopla 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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Analyze Market Trends Step-by-Step

The `zed_index` tool retrieves the Zoopla Zed-Index (average property value) for a specific area. You can build workflows that first check this index, then use it as input to another step, making complex decision trees. Since Mastra AI handles automatic retries with exponential backoff, if the initial data pull fails, your workflow doesn't just crash; it attempts to re-run and succeed.

Retrieve Rich Street Comparisons

Use `property_rich_list` to get a list of both the most expensive and least expensive streets in an area. A developer can set up a multi-step workflow: Step 1 gets the list, Step 2 analyzes the data (e.g., 'Is the difference over £50k?'), and then sends a notification. This conditional branching capability means you build reliable operations that handle failures gracefully.

Get Local Area Statistics URLs

The `local_info_graphs` tool fetches the URLs needed for local area statistics graphs. Your workflow uses this list of URLs to populate a dashboard widget, which is then passed to a final reporting step. Because Mastra AI supports one-command deployment, you can push this entire complex data retrieval and analysis pipeline live quickly.

Setup guide

Set up Zoopla 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 Zoopla 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: "zoopla-mcp-client",
  servers: {
    "zoopla-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Zoopla 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 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 Mastra AI

You define a workflow that sequences tool calls. For example, you might call `property_listings` first, and if the count is over 50, trigger a secondary check using `average_sold_prices`. The built-in engine manages this flow.

The framework handles failures gracefully. It automatically retries the failed step using exponential backoff, so you don't lose data just because of a temporary network blip.

Yes. You use `mcpClient.listTools()` to expose all the Zoopla functions, allowing you to build conditional logic (if payment fails then retry) around real estate data retrieval.

The primary data types are structured property records: listings, sold prices, and index values for UK real estate markets.

You install `@mastra/mcp` and initialize the client. You then spread the available tools into your agent's toolset, giving you full control over the workflow execution.

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