How to Use the Zillow Alternative MCP in VS Code Copilot

Q: Can Zillow Alternative help me build out valuation charts using VS Code Copilot?

Yes. You can use the getchart tool to get a URL for historical Zestimate data, which you'll then write into your code and render.

Q: What should I use for comparable sales with Zillow Alternative in VS Code Copilot?

The best combo is getcomps to list the comparable properties. Then, run getdeepcomps on those results; it gives you the rich property metrics you need.

Q: Does Zillow Alternative help with market demographics in VS Code Copilot?

It does. The getdemographics tool fetches demographic data for a specified region, which is crucial for any team building out market analysis tools.

Get real estate metrics and comparable sales into your team's code base with VS Code Copilot.

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Connect Zillow Alternative MCP to VS Code Copilot

Create your Vinkius account to connect Zillow Alternative 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 Zillow Alternative with VS Code Copilot

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Check property valuations and market history.

The `get_zestimate` tool pulls the latest Zestimate for a specific ZPID. You can also use `get_chart` to generate an image URL showing how that valuation has changed historically. This means your whole team's code gets access to real-time market context, not just static assumptions.

Run deep searches and find comparable sales.

Use `get_search_results` for standard lookups, but if you need more, run `get_deep_search_results`. For comparison data, the `get_comps` tool returns a solid list of recent sales. Commit these tools to your repo so every developer can use them without extra setup.

Analyze regional and payment estimates.

Want neighborhood breakdowns? Call `get_region_children` for subregions within a city. You can also estimate costs using `get_monthly_payments` or check out the latest rates with `get_rate_summary`. This lets your team build out full financial models right inside VS Code.

Setup guide

Set up Zillow Alternative 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 Zillow Alternative 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 Zillow Alternative tools listed. Try asking: "List my recent Zillow Alternative transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Zillow Alternative MCP in VS Code Copilot

Just enable Agent mode in Copilot Chat and prompt it. The AI agent will call the necessary tools, like `get_comps`, and inject the live property data directly into your files.

Yes. You can use the `get_chart` tool to get a URL for historical Zestimate data, which you'll then write into your code and render.

The best combo is `get_comps` to list the comparable properties. Then, run `get_deep_comps` on those results; it gives you the rich property metrics you need.

It does. The `get_demographics` tool fetches demographic data for a specified region, which is crucial for any team building out market analysis tools.

This MCP Server handles structured property data. Specifically, it reads demographic data and neighborhood lists using `get_demographics` and `get_region_children`.

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