How to Use the RentCast MCP in Mastra AI

Q: How do RentCast and Mastra AI handle multi-step valuation logic?

You can chain tools like getrentalvaluation and getrentalcomparables inside a single Mastra workflow. The output of the valuation feeds directly into the comparative analysis step without writing manual glue code.

Q: Can I require human approval before running a property search?

Yes, you can set the requireToolApproval flag on the getpropertybyid tool. This pauses the agent before executing the MCP server tool, waiting for manual confirmation in your dashboard.

Build resilient, multi-step real estate valuation workflows with Mastra AI and live property data.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect RentCast MCP to Mastra AI

Create your Vinkius account to connect RentCast to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup RentCast with Mastra AI

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Trigger valuation retries automatically with Mastra AI

The `get_rental_valuation` tool calculates rental pricing estimates for any property address. If the source API rate limit triggers, Mastra's engine catches the failure and retries with exponential backoff. This means your agent continues evaluating properties without crashing mid-run. Your workflow handles the error state silently, returning data once the connection succeeds.

Branch your real estate analysis based on live metrics

The `get_property_details` tool extracts deep property specifications like square footage, year built, and construction type. You can write conditional logic that routes older buildings to specialized inspectors. If the property details meet your criteria, Mastra triggers `get_sale_valuation` to estimate the market value. This logic runs entirely on your server, keeping your agent's execution path clean and predictable.

Approve high-value RentCast property deals before executing

The `get_sale_comparables` tool identifies recently sold homes in the immediate area to validate pricing. For multi-million dollar assets, you can pause the agent workflow until a human reviews the comps. Mastra holds the execution state until you approve or reject the data in your admin panel. Once approved, the system automatically triggers the next step to draft an offer letter.

Setup guide

Set up RentCast 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All RentCast tools become native Mastra tools.
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: "rentcast-mcp-client",
  servers: {
    "rentcast-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by RentCast. 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 RentCast MCP in Mastra AI

Instantiate the MCPClient pointing to your Vinkius HTTP URL. Then, fetch the tools using listTools and spread them directly into your agent's tool array.

Yes, the framework includes a built-in workflow engine that manages API rate limits. When calling list_market_trends, any temporary network block triggers automatic retries.

You can chain tools like get_rental_valuation and get_rental_comparables inside a single Mastra workflow. The output of the valuation feeds directly into the comparative analysis step without writing manual glue code.

Yes, you can set the requireToolApproval flag on the get_property_by_id tool. This pauses the agent before executing the MCP server tool, waiting for manual confirmation in your dashboard.

Vinkius handles the MCP connection secure routing, so all credentials stay secured inside a zero-trust sandbox. The raw property details, valuations, and ZIP-level trends are processed in memory and never written to persistent logs.

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