How to Use the LandTech MCP in Vercel AI SDK

Q: How do I configure the LandTech MCP Server with the Vercel AI SDK?

Install the @ai-sdk/mcp package and initialize the client using the Vinkius transport URL. Pass the tools from mcpClient.tools() directly into your streamText function to let your agent call tools like searchlandparcels. Remember to call mcpClient.close() once the streaming session completes.

Q: Can I stream comparable sales data using LandTech and Vercel AI SDK?

Yes, you can use getpricecomparables to fetch similar sales in the area and stream them as structured JSON components. Look, the bottom line is the model processes the raw transaction history and updates your UI table row by row.

Q: How does Vercel AI SDK handle long-running LandTech queries like regional planning searches?

For tools like searchurbanplanning, the SDK uses edge-compatible streams to keep the connection open while the server queries the database. This prevents timeout errors on your serverless functions when pulling massive regional datasets.

Q: Can I use this server to build interactive portfolio dashboards?

Yes, you can call listsavedsites to populate a user's dashboard and run live checks on those sites. The SDK allows you to bind UI buttons directly to these tool calls for immediate feedback.

Build real-time land development interfaces that stream live property data directly into your Vercel AI SDK frontend.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect LandTech MCP to Vercel AI SDK

Create your Vinkius account to connect LandTech to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup LandTech with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream live land searches directly to your UI

The `search_land_parcels` tool lets your AI client find development sites and render the boundary coordinates on your map component in real-time. Connect this MCP Server to stream the raw geospatial matches directly to the browser as they resolve. You can instantly feed these coordinates into `get_site_constraints` to overlay flood zones or conservation boundaries. Because the SDK handles streaming UI states natively, your users watch the risk analysis populate cell by cell on their screen.

Render property titles instantly with Vercel AI SDK

The `get_ownership_title` tool retrieves corporate owner names and registered addresses to show who owns a plot without page refreshes. Your frontend can display this ownership stack immediately, letting developers click through corporate structures while the stream finishes. Combine this with `get_building_data` to show physical dimensions alongside the legal owner. This MCP Server integration runs on Edge Functions, keeping latency low when users query dense urban blocks.

Live planning history feeds for real estate apps

The `get_planning_details` tool extracts active planning applications and local decisions for any selected site on your map. Using the Vercel AI SDK, your interface displays these local planning timelines dynamically as the model parses the raw policy text. Users can query `get_planning_policy` to see why a specific application succeeded or failed. The streaming connection handles this heavy data transfer without locking up the user interface.

Setup guide

Set up LandTech MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all LandTech tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent LandTech transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect LandTech now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LandTech MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and initialize the client using the Vinkius transport URL. Pass the tools from `mcpClient.tools()` directly into your `streamText` function to let your agent call tools like `search_land_parcels`. Remember to call `mcpClient.close()` once the streaming session completes.

Yes, you can use `get_price_comparables` to fetch similar sales in the area and stream them as structured JSON components. Look, the bottom line is the model processes the raw transaction history and updates your UI table row by row.

For tools like `search_urban_planning`, the SDK uses edge-compatible streams to keep the connection open while the server queries the database. This prevents timeout errors on your serverless functions when pulling massive regional datasets.

Yes, you can call `list_saved_sites` to populate a user's dashboard and run live checks on those sites. The SDK allows you to bind UI buttons directly to these tool calls for immediate feedback.

Vinkius runs the server in an isolated V8 sandbox, ensuring your land parcel IDs and queries remain private. Your actual search queries never persist on our servers, keeping your competitive acquisition strategies completely secure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript