How to Use the Zoopla MCP in Cursor

Q: Can I calculate market values with Zoopla and Cursor?

Yes. You can call zedindex to get a benchmark value, and then ask the AI to write a function that uses this live data point for comparison within your code.

Q: What local stats can I get for my code using Zoopla?

You use localinfographs to retrieve URLs that you can then populate into image components or links in your application. It’s great for adding visual context.

Q: Is the MCP Server good for writing complex real estate analysis code?

It's perfect. By combining propertylistings with averagesoldprices, you can write robust, data-driven code that accurately reflects current market conditions.

Live real estate data injected directly into your code using Cursor and the Zoopla MCP Server.

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Connect Zoopla MCP to Cursor

Create your Vinkius account to connect Zoopla to Cursor 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 Zoopla with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get live property data for coding.

Need to populate a test dataset? Call `property_listings` and let the AI inject the resulting array of properties directly into your function. You get real API responses, not mock stubs. This makes building out front-end components or backend validation logic way faster.

Calculate market metrics on the fly.

You can use `zed_index` to calculate average values in your code. The AI reads this live data and writes the necessary calculation, saving you time. Similarly, calling `average_sold_prices` allows your agent to write logic that uses accurate sold price ranges for testing purposes.

Build detailed reports with MCP Server.

To build out a full report in your code, use `local_info_graphs` to pull the required URLs. You can also call `property_rich_list` and let the AI generate structured data mapping the most expensive streets. It's about getting accurate context into the lines of code you're writing.

Setup guide

Set up Zoopla MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Zoopla MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Zoopla transactions." If the MCP tools are loaded correctly, Cursor will call the Zoopla tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "zoopla-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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 Cursor

Simply prompt your agent to 'Get property listings for X area and write a loop using the data.' The MCP Server runs `property_listings`, and the resulting JSON array is injected right into your code block.

Yes. You can call `zed_index` to get a benchmark value, and then ask the AI to write a function that uses this live data point for comparison within your code.

The server touches property listing details and index values. Since you are in a controlled coding environment, the AI agent only exposes the specific data fields needed to complete your current task, keeping things contained.

You use `local_info_graphs` to retrieve URLs that you can then populate into image components or links in your application. It’s great for adding visual context.

It's perfect. By combining `property_listings` with `average_sold_prices`, you can write robust, data-driven code that accurately reflects current market conditions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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