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LandTech MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Get Api Status, Get Building Data, Get Ownership Title, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LandTech through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The LandTech app connector for Vercel AI SDK is a standout in the Real Estate category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using LandTech, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
LandTech
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About LandTech MCP Server

Connect your LandTech account to any AI agent and access property intelligence through natural conversation.

The Vercel AI SDK gives every LandTech tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Land Search — Search parcels by location, size, and zoning criteria
  • Ownership Analysis — Browse ownership records and title information
  • Planning Applications — Track planning permissions and application status
  • Site Assessment — Access environmental, flood risk, and constraint data
  • Development Tracking — Monitor construction activity and project pipelines

The LandTech MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 LandTech tools available for Vercel AI SDK

When Vercel AI SDK connects to LandTech through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial-intelligence, land-search, property-development, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_api_status

Check connection

get_building_data

Get property-level info

get_ownership_title

Get property title info

get_planning_details

Get planning info

get_planning_policy

Get policy details

get_price_comparables

Find similar sales

get_real_estate_market_data

Get regional insights

get_site_constraints

Check development risks

list_local_authority_plans

List regional policies

list_saved_sites

List portfolio sites

search_land_parcels

Find land for development

search_urban_planning

Find planning applications

Connect LandTech to Vercel AI SDK via MCP

Follow these steps to wire LandTech into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from LandTech and passes them to the LLM

Why Use Vercel AI SDK with the LandTech MCP Server

Vercel AI SDK provides unique advantages when paired with LandTech through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same LandTech integration everywhere

03

Built-in streaming UI primitives let you display LandTech tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

LandTech + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the LandTech MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query LandTech in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate LandTech tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed LandTech capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with LandTech through natural language queries

Example Prompts for LandTech in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LandTech immediately.

01

"Search for development sites over 2 acres in London with residential zoning."

02

"Show ownership details and planning history for the Wandsworth site."

03

"List recent planning applications in Hackney and show environmental constraints."

Troubleshooting LandTech MCP Server with Vercel AI SDK

Common issues when connecting LandTech to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

LandTech + Vercel AI SDK FAQ

Common questions about integrating LandTech MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.