How to Use the Zoopla MCP in VS Code Copilot

Q: Can VS Code Copilot compare sold prices with Zoopla?

Yes. You can ask it to run averagesoldprices and compare that output against the general market value provided by zedindex. This helps your team identify discrepancies.

Q: What kind of local stats can Zoopla provide with VS Code Copilot?

You get access via localinfographs, which provides URLs for graphs showing local area statistics. This is perfect for embedding visual data into team reports.

Q: Is the MCP Server good for generating complex real estate metrics in VS Code Copilot?

It's ideal. You can combine propertylistings with street analysis using propertyrichlist to write code that handles highly detailed, multi-faceted market data.

Team-wide access to UK property market data for everyone using VS Code Copilot.

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Connect Zoopla MCP to VS Code Copilot

Create your Vinkius account to connect Zoopla to VS Code Copilot 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 VS Code Copilot

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Gather all local listings across the team.

Use `property_listings` to retrieve a list of properties available in any area. Because this is configured via `.vscode/mcp.json`, every developer on your team instantly has access to this data. You don't have to worry about onboarding documentation; it just works when you commit the config.

Benchmark property values for stakeholders.

The `zed_index` tool gives a quick, reliable average property value across a region. Your team can use this benchmark to write comparative reports instantly. If you need more depth, running `average_sold_prices` provides granular data points that are excellent for executive summaries.

Generate deep market analysis reports.

You can call `local_info_graphs` to pull URLs for local statistics graphs. Additionally, the `property_rich_list` tool lets you analyze and report on both the most and least expensive streets in a target area. This capability means your team generates richer reports faster.

Setup guide

Set up Zoopla MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Zoopla MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Zoopla tools listed. Try asking: "List my recent Zoopla transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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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 VS Code Copilot

You simply ask the Copilot Chat agent to retrieve properties. Since it's configured in `.vscode/mcp.json`, the tool is available instantly, letting your team access `property_listings` without any setup friction.

Yes. You can ask it to run `average_sold_prices` and compare that output against the general market value provided by `zed_index`. This helps your team identify discrepancies.

The server handles property listing data and local statistics. The configuration ensures that only the necessary, pre-approved public endpoints are accessible to the MCP Server running through your shared project scope.

You get access via `local_info_graphs`, which provides URLs for graphs showing local area statistics. This is perfect for embedding visual data into team reports.

It's ideal. You can combine `property_listings` with street analysis using `property_rich_list` to write code that handles highly detailed, multi-faceted market data.

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