How to Use the Zillow Alternative MCP in Google ADK

Q: What demographics does Zillow Alternative provide using Google ADK?

The getdemographics tool pulls demographic data for a specific region. Your agent can use this to contextualize property values, making your analysis much deeper than simple listing data.

Q: Can Zillow Alternative find properties using Google ADK?

Yes. You can use getsearchresults by providing an address. The agent finds the property and gets a full set of rich property details, letting you build out structured datasets in BigQuery.

Q: Is Zillow Alternative reliable for market comparisons with Google ADK?

Definitely. You can pull comparable sales using getcomps or get richer data via getdeepcomps. Both tools give you the necessary data points to build a strong case study.

Analyze market data with Google ADK and Zillow Alternative for enterprise agents.

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Connect Zillow Alternative MCP to Google ADK

Create your Vinkius account to connect Zillow Alternative 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 Zillow Alternative with Google ADK

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Get Property Valuation Data

The `get_zestimate` tool gives you the most recent valuation available just by passing a ZPID. This is crucial data your agent can pull directly into BigQuery for long-term analysis. If you need to know about owner edits, use `get_updated_property_details`. The rich property data helps build out comprehensive market reports within Vertex AI.

Analyze Deep Neighborhood Data

Need more than standard search results? The MCP Server exposes `get_deep_search_results`, which returns enhanced, rich property data. This goes beyond what a typical search tool provides. Furthermore, you can use `get_region_children` to get a list of subregions for any specified area, allowing your Gemini-powered agent to segment its analysis.

Calculate Payments and Rates

Before the client even looks at a listing, they need financial context. Use `get_rate_summary` to fetch current mortgage rates. Then, run `get_monthly_payments` to estimate what that property will cost monthly. This flow of data—rates and payments—is perfect for feeding into your BigQuery tables alongside the raw listing information.

Setup guide

Set up Zillow Alternative 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 Zillow Alternative 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="Zillow Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zillow Alternative tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Zillow Alternative MCP in Google ADK

You pass the MCP toolset to your LlmAgent, which then allows Gemini models to interact with the server. Because of its native BigQuery integration, you can act on the returned data immediately.

The `get_demographics` tool pulls demographic data for a specific region. Your agent can use this to contextualize property values, making your analysis much deeper than simple listing data.

Yes. You can use `get_search_results` by providing an address. The agent finds the property and gets a full set of rich property details, letting you build out structured datasets in BigQuery.

Definitely. You can pull comparable sales using `get_comps` or get richer data via `get_deep_comps`. Both tools give you the necessary data points to build a strong case study.

This MCP Server handles property addresses, valuation estimates (Zestimates), and demographic data. Since your agent is building enterprise workflows, ensure all PII gathered through the tools remains within compliant GCP boundaries.

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