How to Use the Nestoria MCP in Mastra AI

Build resilient, automated property search workflows on Nestoria with Mastra AI. Set it up once and let it run.

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Connect Nestoria MCP to Mastra AI

Create your Vinkius account to connect Nestoria 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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Setup Nestoria with Mastra AI

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Automate Your Property Searches

The `search_listings` tool lets your agent query Nestoria's global database for properties. It's your agent's entry point for finding real estate to buy or rent anywhere in the world. With Mastra AI, you turn that search into a reliable, automated job. If the Nestoria API is temporarily down or a network request fails, Mastra's engine automatically retries with exponential backoff. Your data pipeline doesn't break; it just keeps working.

Build Workflows with the Mastra AI MCP Client

A search is just the first step. Use Mastra AI's workflow engine to build logic around the `search_listings` tool. For example: search for new listings every hour. If a property in London is found under £500,000, send a notification. If not, do nothing. This is how you build a real monitoring system. You can also add a human-in-the-loop step. Have your agent find properties and then use `requireToolApproval` to wait for a person to approve the list before the next step runs.

Deploy with a Single Command

Mastra is built for production. Define an agent with the `search_listings` tool, write your workflow logic in TypeScript, and deploy it to the cloud. Mastra handles the boilerplate and state management. This isn't just for one-off scripts. You're building a durable system. Your agent can run for weeks, continuously monitoring the market, thanks to the robust connection to the Nestoria MCP Server.

Setup guide

Set up Nestoria 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 Nestoria 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: "nestoria-mcp-client",
  servers: {
    "nestoria-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Nestoria 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 Nestoria. 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 Nestoria MCP in Mastra AI

You'd create a workflow that triggers on a schedule. The first step would be your agent calling the `search_listings` tool with `listing_type: 'rent'` and any other criteria you need. Mastra's engine handles the scheduling and execution.

Mastra's built-in retry logic with exponential backoff helps manage intermittent failures, which can be caused by rate limits. For systematic rate limiting, you can add a delay step in your workflow between calls to the `search_listings` tool.

The output of one tool call in a Mastra workflow is available to subsequent steps. You can have your agent call `search_listings`, and then pass the resulting list of properties directly to another tool for analysis or storage.

Yes. All communication between your Mastra AI client and the Vinkius-hosted MCP server is over HTTPS. Your endpoint token authenticates your requests, ensuring only your agents can access the tools.

Your search criteria are part of the workflow's operational data. The MCP server itself is stateless; it uses your criteria for the immediate API call to Nestoria and doesn't retain them. Your Mastra AI environment is where the state and history of your property search workflows are managed.

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