How to Use the Idealista (Real Estate) MCP in Google ADK

Q: How do I restrict which Idealista (Real Estate) tools my Google ADK agent can use?

You use the toolnames filter when initializing the McpToolset. This limits the agent to only the specific search endpoints you want to expose.

Connect Idealista (Real Estate) to Google ADK to process property data alongside your BigQuery and Vertex AI workflows.

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Connect Idealista (Real Estate) MCP to Google ADK

Create your Vinkius account to connect Idealista (Real Estate) to Google ADK 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 Google ADK

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Perplexity

Direct data ingestion for Google ADK

Feed live market data into your Google Cloud environment using `pisos_venta`. This tool provides the raw numbers you need for large-scale analysis. Your agent can now reason over property listings using the massive context windows available in Gemini. It connects real-time market shifts to your existing enterprise data.

Geospatial property filtering

Utilize `buscar_inmuebles` to pull listings based on precise geographic coordinates. It's the standard way to map availability against your internal infrastructure. This integration allows your agent to perform complex spatial reasoning. You get cleaner data pipelines without the usual overhead of external API management.

Rental market monitoring

Keep your models current with `pisos_alquiler`. Your agent pulls updated listings to track rent fluctuations across your focus regions. You avoid stale data by querying the source directly. This gives your agent the accuracy required for high-stakes investment decisions.

Setup guide

Set up Idealista (Real Estate) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Idealista (Real Estate) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Idealista (Real Estate)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Idealista (Real Estate) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Idealista (Real Estate) MCP in Google ADK

Yes. The McpToolset allows your agent to discover all five tools immediately upon connection. You just pass the server URL, and the agent identifies the capabilities.

You use the tool_names filter when initializing the McpToolset. This limits the agent to only the specific search endpoints you want to expose.

It supports targeted searches for your agent. You should respect API limits by requesting specific data points via the specialized tools rather than broad, unconstrained queries.

The server runs in an ephemeral, zero-trust sandbox. Every request is authenticated via your endpoint token, keeping your data traffic isolated from other users.

Your queries pass through a secure, non-persistent memory buffer. We do not log your property search criteria or location data, ensuring your investment strategy remains confidential.

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