How to Use the Idealista (Real Estate) MCP in VS Code Copilot

Q: How does our team configure the Idealista (Real Estate) MCP Server for VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and add the MCP Server configuration. Once committed, every developer on your team gets immediate access to the real estate tools.

Q: How do we filter properties by size and price?

You can pass specific parameters to buscarinmuebles or pisosventa. Just tell Copilot your target square footage and budget, and it will apply those filters to the API call.

Equip your engineering team to pull live Idealista property data directly into VS Code Copilot with a shared MCP config.

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Connect Idealista (Real Estate) MCP to VS Code Copilot

Create your Vinkius account to connect Idealista (Real Estate) 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 Idealista (Real Estate) with VS Code Copilot

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Standardize real estate data across your team

Keep your entire development team on the same page by committing your configuration to Git. Here's the kicker: when developers run `buscar_inmuebles` inside their editor, they query the exact same live geographic database for Iberian properties. This shared setup ensures that everyone tests their features against identical data structures. You avoid the classic bugs when building complex search filters on your machine.

Query new construction projects using our MCP Server

Building portals for real estate developers requires up-to-date information on upcoming builds. Your team can run `obra_nueva` to fetch the latest residential projects directly into their active workspace. Copilot uses this live context to generate accurate frontend components. It means your team writes templates using real property names, images, and price points instead of placeholder text.

Validate rental and purchase flows simultaneously

Testing checkout or application flows requires reliable listings for both buyers and renters. Use `pisos_venta` to pull active sales listings, then switch to `pisos_alquiler` to verify how your app handles rental agreements. Having both datasets available in your editor lets you test edge cases like price-to-rent ratios in real time. Your team can write and debug validation scripts without leaving the terminal.

Setup guide

Set up Idealista (Real Estate) 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 Idealista (Real Estate) 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 Idealista (Real Estate) tools listed. Try asking: "List my recent Idealista (Real Estate) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Idealista (Real Estate) MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and add the MCP Server configuration. Once committed, every developer on your team gets immediate access to the real estate tools.

Yes, you can find warehouse and retail spaces. Ask Copilot to run `locales_comerciales` to grab active listings and feed the structured data into your active code file.

No, Vinkius manages the authentication centrally. Your team uses a single endpoint token, so individual developers do not need to manage separate credential files.

You can pass specific parameters to `buscar_inmuebles` or `pisos_venta`. Just tell Copilot your target square footage and budget, and it will apply those filters to the API call.

All search parameters and coordinate inputs are processed in a zero-trust, ephemeral sandbox. No query history or geographic coordinates are stored on the server after the execution completes.

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