How to Use the Zoopla MCP in Cline

Q: How do I build a dashboard using Zoopla and Cline?

You use propertylistings to pull the live property data, then tell Cline to write the component that displays it. It handles importing the API data and generating the required files automatically.

Q: What if I need sold price history with Zoopla and Cline?

You run averagesoldprices. The result is a clean, numerical value that your code can easily ingest. This makes it simple to calculate trends or compare historical averages in your script.

Q: Does Cline support finding street value differences with Zoopla?

Yes, use propertyrichlist. You pull the data and let Cline process it into a structured comparison. It lets you generate reports comparing high-end vs. low-end streets in code.

Q: What is the best way to get local area stats with Zoopla and Cline?

Use localinfographs. This fetches URLs for graphs, which you then pass to your component's data source. Your script can build a visualization that points directly back to the live MCP Server.

Build real estate dashboards with Cline. Execute data pulls and code changes using the MCP Server.

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Connect Zoopla MCP to Cline

Create your Vinkius account to connect Zoopla to Cline 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 Cline

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MCP Server: Run a Full Market Analysis

Use `property_listings` to retrieve all current properties for sale or rent in an area, then pass that data into your local code. Cline can take this raw list and transform it directly into a structured JSON object ready for consumption. It's not just about fetching the data; it’s about letting Cline write the component, import the API data, and stage the commit all in one go.

Cline: Map Local Area Statistics

The `local_info_graphs` tool pulls URLs for graphs showing local area stats. You can feed these URLs into your code to create a visualization component that imports external data sources. This lets you build complex dashboards where the source of truth is always updated via the live MCP Server connection.

Cline: Calculate Average Prices

When you run `average_sold_prices`, Cline gets a clean, numerical output that your script can immediately use. You don't have to parse messy text; you get the raw number needed for calculations. It’s ideal for back-end scripts that need to ingest market data and write out calculated metrics or update records.

Setup guide

Set up Zoopla MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type zoopla-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Zoopla refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about Zoopla MCP in Cline

You use `property_listings` to pull the live property data, then tell Cline to write the component that displays it. It handles importing the API data and generating the required files automatically.

You run `average_sold_prices`. The result is a clean, numerical value that your code can easily ingest. This makes it simple to calculate trends or compare historical averages in your script.

The server touches property listing data, specifically records that include sale or rental status. Cline handles this by only exposing the necessary fields for your component, keeping sensitive details out of the code base.

Yes, use `property_rich_list`. You pull the data and let Cline process it into a structured comparison. It lets you generate reports comparing high-end vs. low-end streets in code.

Use `local_info_graphs`. This fetches URLs for graphs, which you then pass to your component's data source. Your script can build a visualization that points directly back to the live MCP Server.

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