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io.github.winds3753/landbenchmark-mcp

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

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package landbenchmark-mcp
Claude Code 
claude mcp add landbenchmark-mcp -e 'TERRAIN_API_KEY=<your terrain_api_key>' -e 'TERRAIN_BASE_URL=<TERRAIN_BASE_URL>' -- npx -y landbenchmark-mcp@0.1.1
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "landbenchmark-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "landbenchmark-mcp@0.1.1"
            ],
            "env": {
                "TERRAIN_API_KEY": "<your terrain_api_key>",
                "TERRAIN_BASE_URL": "<TERRAIN_BASE_URL>"
            }
        }
    }
}

Environment variables

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

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. landbenchmark-mcp
  2. Why
  3. Setup
  4. Tool: analyze_parcel
  5. Build
  6. Links

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

  1. Get an API key at landbenchmark.com/account → API keys.
  2. 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

ParamTypeNotes
lat, lonnumberParcel centre (WGS84). Provide these or geometry.
geometryGeoJSONPolygon or Point (alternative to lat/lon).
labelstringOptional 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

Informational only — not a survey, flood determination, or a substitute for on-site inspection and professional advice.

Frequently asked questions

What is io.github.winds3753/landbenchmark-mcp?

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

How do I install io.github.winds3753/landbenchmark-mcp?

It runs on your machine. In Claude Code: claude mcp add landbenchmark-mcp -e 'TERRAIN_API_KEY=<your terrain_api_key>' -e 'TERRAIN_BASE_URL=<TERRAIN_BASE_URL>' -- npx -y landbenchmark-mcp@0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.winds3753/landbenchmark-mcp need an API key?

Yes. It expects TERRAIN_API_KEY, TERRAIN_BASE_URL, which you set in its configuration.

Is io.github.winds3753/landbenchmark-mcp open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.winds3753/landbenchmark-mcp?

It is published by winds3753. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.