Landbenchmark MCP

Name: Landbenchmark MCP
Author: winds3753

by winds3753version 0.1.1i★ –iRuns on your computer

Registry nameio.github.winds3753/landbenchmark-mcp

Install

Overview

Description from the maker (original English)

Satellite land due-diligence: a green/caution/walk-away verdict with cited signals for any parcel.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: TERRAIN_API_KEY, TERRAIN_BASE_URL

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: TERRAIN_API_KEY, TERRAIN_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "landbenchmark": {
      "command": "npx",
      "args": [
        "-y",
        "landbenchmark-mcp"
      ],
      "env": {
        "TERRAIN_API_KEY": "your-value",
        "TERRAIN_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add landbenchmark --env TERRAIN_API_KEY=your-value --env TERRAIN_BASE_URL=your-value -- npx -y landbenchmark-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "landbenchmark": {
      "command": "npx",
      "args": [
        "-y",
        "landbenchmark-mcp"
      ],
      "env": {
        "TERRAIN_API_KEY": "your-value",
        "TERRAIN_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "landbenchmark": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "landbenchmark-mcp"
      ],
      "env": {
        "TERRAIN_API_KEY": "your-value",
        "TERRAIN_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

TERRAIN_API_KEY secret required env
LandBenchmark API key (create one at https://www.landbenchmark.com/account).
TERRAIN_BASE_URL required env
LandBenchmark base URL, e.g. https://www.landbenchmark.com

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account winds3753, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32744 servers in this category
Published to the registry more recently than 20% of the other 32744 servers in this category
Basic checks equal to or better than 100% of the other 32744 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Landbenchmark MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TERRAIN_API_KEY, TERRAIN_BASE_URL

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Date Math

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

landbenchmark-mcp

An MCP server that lets AI agents run satellite land due-diligence through LandBenchmark. It exposes one tool, analyze_parcel, that returns a green / caution / walk-away verdict with cited signals (flooding, slope & buildability, soil, hazards, access) for any parcel.

Why

When someone asks their AI assistant *"is this land any good to buy?"*, the agent can call LandBenchmark and answer with observed, cited satellite data instead of guessing.

Setup

Get an API key at landbenchmark.com/account → API keys.
Add the server to your MCP client config:

"mcpServers": { "terrain": { "command": "npx", "args": ["-y", "landbenchmark-mcp"], "env": { "TERRAIN_API_KEY": "tk_live_...", "TERRAIN_BASE_URL": "https://www.landbenchmark.com" } } } }

Both env vars are required. (TERRAIN_* is the internal engine name — LandBenchmark runs on the Terrain analysis engine.) TERRAIN_BASE_URL has no default on purpose: every request sends your API key to that host in an Authorization header, so the server refuses to start rather than guess where it goes. It also refuses to send a key over plain http:// to anything but localhost.

Works with any MCP-capable client — Claude Desktop, Claude Code, and agent frameworks.

Tool: `analyze_parcel`

Param	Type	Notes
`lat`, `lon`	number	Parcel centre (WGS84). Provide these or `geometry`.
`geometry`	GeoJSON	Polygon or Point (alternative to lat/lon).
`label`	string	Optional parcel name.
`mode`	`"lite"` \	`"full"`	`lite` (default) ≈ 1 min; `full` = deep multi-year satellite report ≈ 3–4 min.

Returns a plain-text verdict summary with the flagged signals and a link to the full report.

Build

npm install

npm run build # → dist/index.js npm test # verifies the API-key safety guard

Landbenchmark MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Date Math

README from the maker

landbenchmark-mcp

Why

Setup

Tool: analyze_parcel

Build

Links

Tool: `analyze_parcel`