How to Use the LandTech MCP in Cursor

Q: How do I add the LandTech MCP Server to my Cursor project?

Create a .cursor/mcp.json file in your project root and add the server details. Once saved, your agent can immediately call tools like searchlandparcels to assist with your coding tasks.

Q: Can Cursor run LandTech queries in Agent mode?

Yes, Agent mode allows the editor to run tools like getownershiptitle autonomously. This lets the editor fetch real owner data to test your database ingestion scripts.

Q: How does LandTech help me debug real estate APIs in Cursor?

Instead of guessing API payloads, your agent can call getplanningdetails to show you the exact JSON structure. This makes mapping data fields to your internal models incredibly fast.

Build real estate valuation models and land search tools in Cursor using live property and planning data.

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 Cursor

Create your Vinkius account to connect LandTech to Cursor 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Inject live property data into your Cursor workspace

Writing real estate software with mock data is a waste of time. This LandTech MCP Server lets your Cursor agent pull live property-level information into your code using `get_building_data`. You can build and test valuation algorithms using actual data points. The agent calls `get_price_comparables` to populate your test suites with real transaction history instead of hardcoded stubs.

Automate site screening scripts in the editor

Let your editor do the heavy lifting when writing land-finding scripts. By using `search_land_parcels` inside your Cursor workspace using this MCP tool, you can test coordinate-based search functions with live registry records. The agent writes the code and tests it against actual planning boundaries. You can verify your logic immediately by pulling raw policy details using `list_local_authority_plans` directly in your workspace.

Audit development risks during active coding

Don't wait until production to find out your spatial analysis logic is broken. Your agent uses `get_site_constraints` to retrieve environmental risks and overlay them onto your map components. Having these tools inside Cursor means you can write, run, and debug your land analysis pipelines in one place. You get instant feedback on how your code handles complex planning constraints from `get_planning_details`.

Setup guide

Set up LandTech MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the LandTech MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent LandTech transactions." If the MCP tools are loaded correctly, Cursor will call the LandTech tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "landtech-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Cursor

Create a `.cursor/mcp.json` file in your project root and add the server details. Once saved, your agent can immediately call tools like `search_land_parcels` to assist with your coding tasks.

Yes, Agent mode allows the editor to run tools like `get_ownership_title` autonomously. This lets the editor fetch real owner data to test your database ingestion scripts.

Instead of guessing API payloads, your agent can call `get_planning_details` to show you the exact JSON structure. This makes mapping data fields to your internal models incredibly fast.

Yes, you can query your saved development leads. Ask your agent to call `list_saved_sites` to verify that your local database matches the remote portfolio using the MCP endpoint.

Your API keys and coordinate queries are kept local to your editor instance. The server processes lookups through an ephemeral MCP session, ensuring your private development targets are never cached on external servers.

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