How to Use the Idealista (Real Estate) MCP in Pydantic AI

Q: Can I use Pydantic AI to search Idealista (Real Estate) for specific property types?

Yes. You can target pisosalquiler or obranueva based on your model's requirements. The toolset maps the server's output directly to your Python objects.

Strict type-safe real estate data for Pydantic AI — Idealista (Real Estate) integration that fails fast if data deviates.

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Connect Idealista (Real Estate) MCP to Pydantic AI

Create your Vinkius account to connect Idealista (Real Estate) to Pydantic AI 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 Pydantic AI

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Perplexity

Type-validated search for Pydantic AI

Every response from `pisos_venta` is validated against your Pydantic models at runtime. If the API returns unexpected fields, your agent alerts you immediately. You eliminate the risk of silent data corruption. Your agent acts only on verified, structured information that matches your expected schema.

Reliable commercial searches

Use `locales_comerciales` to pull commercial property data into your type-safe pipeline. It ensures your agent only processes valid, complete listings. This creates a predictable environment for your agent. You spend less time debugging data issues and more time building your application logic.

New development validation

Query `obra_nueva` with the confidence that your agent will reject malformed responses. It enforces strict data integrity for all incoming project details. Your application logic stays clean and robust. You handle exceptions gracefully because your validation layer catches discrepancies before they impact your agent's decisions.

Setup guide

Set up Idealista (Real Estate) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

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

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Idealista (Real Estate) tools.",
)

result = await agent.run("List recent Idealista (Real Estate) transactions")
print(result.output)

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Common questions about Idealista (Real Estate) MCP in Pydantic AI

It provides runtime validation for all incoming property data. If the server returns a malformed listing, your agent stops immediately, preventing you from acting on bad data.

Yes. You can target `pisos_alquiler` or `obra_nueva` based on your model's requirements. The toolset maps the server's output directly to your Python objects.

Yes. You run the server externally and connect via the URL provided. The MCPToolset handles the transport and ensures all communication remains type-safe.

You provide the endpoint token during the toolset initialization. The MCP server validates this key to grant access to the requested data tools.

The server executes all operations in a memory-safe sandbox. Your property search parameters are never cached or stored, and the runtime validation ensures that only strictly defined data types enter your application.

Use it with your favorite AI tools

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