# landbenchmark-mcp

**Category:** 🚀 Aerospace & Astrodynamics  
**Repository:** https://github.com/winds3753/landbenchmark-mcp  
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**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/landbenchmark-mcp

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

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "landbenchmark-mcp": {
    "command": "npx",
    "args": ["-y","landbenchmark-mcp"]
  }
}
```

## Documentation & README

# landbenchmark-mcp

An [MCP](https://modelcontextprotocol.io) server that lets AI agents run **satellite land due-diligence** through [LandBenchmark](https://www.landbenchmark.com). 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](https://www.landbenchmark.com/account) → **API keys**.
2. Add the server to your MCP client config:

```json
{
  "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

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

## Links

- Product: <https://www.landbenchmark.com>
- API & MCP docs: <https://www.landbenchmark.com/developers>

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