DEM Terrain Analysis MCP Server

AI-powered terrain analysis using deep learning super-resolution. Analyze any location on Earth for environmental risk, erosion potential, water flow patterns, and more.

Tools

Related MCP server: geotap-mcp-server

What it does

Given a latitude/longitude, this MCP server:

1. Fetches 30m satellite elevation data

2. Runs AI super-resolution to produce 10m terrain (3× detail enhancement)

3. Computes 6 terrain analytics metrics including the Site Intelligence Score

Metrics

• flow_direction — water drainage direction per cell (D8 algorithm)

• flow_accumulation — upstream drainage count

• twi — Topographic Wetness Index (saturation tendency)

• erosion_risk — soil erosion susceptibility [0-1]

• runoff_potential — surface water runoff likelihood [0-1]

• site_intelligence_score — composite environmental risk [0-1]

Site Intelligence Score

A composite metric combining TWI, erosion risk, and runoff potential:

• 0.0–0.2: Low risk

• 0.2–0.4: Moderate

• 0.4–0.6: Elevated

• 0.6–0.8: High

• 0.8–1.0: Critical

Installation

{
  "mcpServers": {
    "dem-terrain": {
      "command": "uvx",
      "args": ["dem-terrain-mcp"]
    }
  }
}

Or run directly:

pip install dem-terrain-mcp
python -m dem_terrain_mcp

Example usage

Ask your AI assistant:

"Analyze the terrain at 48.7768, -121.8145 with a 500m bounding box"

Response includes elevation range, Site Intelligence Score with risk level, and all 6 terrain metrics.

Parameters

License

Proprietary. The terrain analysis API is a hosted service.