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How to Use the Zillow Alternative MCP in Mastra AI

Automating Complex Real Estate Workflows with Mastra AI

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Connect Zillow Alternative MCP to Mastra AI

Create your Vinkius account to connect Zillow Alternative to Mastra 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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Handle Valuation Changes and Comps

When a user needs to analyze pricing, start by calling `get_deep_comps`. This returns rich data not just for the principal property but also all comparable sales. Since Mastra AI handles retries with exponential backoff, if one of your initial valuation calls fails, the workflow automatically tries again until it gets solid data.

Build Multi-Step Search Pipelines

A complex search needs multiple steps. Use `get_region_children` to find all neighborhoods in a city, then loop through those using `get_search_results`. Mastra AI manages this conditional branching. The framework ensures that if finding subregions fails, the workflow doesn't crash; it notifies an admin and waits for human input.

Generate Comprehensive Market Reports

To build a full market report, you need multiple data types. You can run `get_zestimate` to get the main valuation, then immediately follow up with `get_monthly_payments` using that ZPID. The workflow guarantees sequential execution: payments only calculate after the initial property value is confirmed.

Setup guide

Set up Zillow Alternative MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Zillow Alternative tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "zillow-alternative-mcp-client",
  servers: {
    "zillow-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Zillow Alternative Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Zillow Alternative tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Zillow Alternative transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zillow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Zillow Alternative MCP in Mastra AI

You can create a workflow that first calls `get_zestimate`, then uses the resulting ZPID to call `get_monthly_payments`. If the payment calculation fails, the system retries automatically.
Use `get_deep_comps` within a workflow. This allows you to structure the process: get comps -> check status -> if insufficient, retry search using different criteria.
Absolutely. Run `get_region_chart` first. The workflow then waits for human approval (`requireToolApproval`) before proceeding to pull detailed demographics using `get_demographics`.
Mastra AI's built-in workflow engine handles this. Instead of failing, it can execute a fallback step, like calling `get_region_children` to suggest alternative areas.
This server deals with structured financial and geographic property records. Specific data types include estimated monthly payment schedules and current mortgage rate summaries.

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