How to Use the LandTech MCP in Mastra AI

Q: How do I register the LandTech MCP Server within a Mastra AI agent?

Install @mastra/mcp and instantiate the client with your Vinkius endpoint URL. You can then list the tools and spread them directly into your agent's tool block to expose functions like getownershiptitle.

Q: Can Mastra AI handle multi-step planning checks using LandTech?

Yes, you can build a workflow that first calls searchurbanplanning to find active applications, then loops through each result to run getplanningdetails. Mastra manages the state and variable passing between these tools natively.

Q: Can I run parallel site evaluations across my portfolio?

Yes, you can use listsavedsites to get your target properties, then run parallel steps in Mastra to check constraints for each site simultaneously. This cuts down total processing time for large portfolios.

Q: Where does my land registry and ownership data go during execution of this MCP Server?

All ownership details retrieved via getownershiptitle are processed inside your local Mastra runtime and Vinkius's ephemeral sandbox. No land registry data is cached or stored externally, maintaining strict confidentiality for your acquisitions.

Automate multi-step land acquisition workflows using Mastra AI to trigger property checks and planning reviews.

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Connect LandTech MCP to Mastra AI

Create your Vinkius account to connect LandTech 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 LandTech with Mastra AI

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Build resilient land valuation workflows with Mastra AI

The `get_price_comparables` tool fetches transaction histories for similar properties to calculate baseline site values automatically. When integrated with a Mastra AI workflow, you can build conditional branches that trigger deeper financial checks if the average price falls below your target threshold. If the API call fails due to network instability, Mastra's built-in retry engine backs off exponentially and tries again. This ensures your automated valuation pipelines don't break during critical acquisition windows.

Automate risk screening with this MCP Server

The `get_site_constraints` tool identifies development risks like historic preservation zones or physical environmental hazards. Within a Mastra AI agent, you can configure a rule that pauses the workflow and requests manual approval if a high-risk constraint is detected. This human-in-the-loop feature prevents your system from automatically bidding on unbuildable plots. Right. The agent uses the tool output to generate a structured risk report before halting for review.

Track local policy changes autonomously

The `list_local_authority_plans` tool lists local development frameworks and zoning rules for specific jurisdictions. Your Mastra AI runtimes can configure this MCP Server to run weekly, comparing new policies against your saved portfolio. When a change is detected, the workflow triggers `get_planning_policy` to extract the exact text of the update. The agent then writes a summary and pushes it directly to your team's notification channel.

Setup guide

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

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

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

Install `@mastra/mcp` and instantiate the client with your Vinkius endpoint URL. You can then list the tools and spread them directly into your agent's tool block to expose functions like `get_ownership_title`.

Yes, you can build a workflow that first calls `search_urban_planning` to find active applications, then loops through each result to run `get_planning_details`. Mastra manages the state and variable passing between these tools natively.

Mastra's workflow engine catches the timeout and executes your configured error path. You can set it to notify your team or fall back to `get_api_status` to verify if the service is temporarily offline.

Yes, you can use `list_saved_sites` to get your target properties, then run parallel steps in Mastra to check constraints for each site simultaneously. This cuts down total processing time for large portfolios.

All ownership details retrieved via `get_ownership_title` are processed inside your local Mastra runtime and Vinkius's ephemeral sandbox. No land registry data is cached or stored externally, maintaining strict confidentiality for your acquisitions.

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