AI-powered terrain analysis using deep learning super-resolution. Analyze any location on Earth for environmental risk, erosion potential, water flow patterns, and more.
Tool | Description |
| Get Site Intelligence Score and terrain metrics summary for any lat/lon |
| Get full super-resolved DEM + per-cell metric grids |
| Verify the API is running |
Related MCP server: readypermit-mcp
Given a latitude/longitude, this MCP server:
Fetches 30m satellite elevation data
Runs AI super-resolution to produce 10m terrain (3× detail enhancement)
Computes 6 terrain analytics metrics including the Site Intelligence Score
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]
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
{
"mcpServers": {
"dem-terrain": {
"command": "uvx",
"args": ["dem-terrain-mcp"]
}
}
}Or run directly:
pip install dem-terrain-mcp
python -m dem_terrain_mcpAsk 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.
Parameter | Type | Required | Description |
latitude | float | yes | [-90, 90] |
longitude | float | yes | [-180, 180] |
bbox_size_m | int | no | Bounding box in meters [250-5000], default 500 |
Proprietary. The terrain analysis API is a hosted service.
Analyze terrain at a given location and return a Site Intelligence Score summary.
Fetches 30m SRTM elevation data, runs RCAN super-resolution to 10m, and computes terrain analytics. Returns summary statistics (min/max/mean) for all 6 metrics including the Site Intelligence Score.
Args: latitude: Center latitude in decimal degrees [-90, 90] longitude: Center longitude in decimal degrees [-180, 180] bbox_size_m: Bounding box size in meters [250, 5000], default 500
Returns: Summary with elevation range, model info, and terrain analytics summary including site_intelligence_score (0=low risk, 1=critical risk).
Inputs: latitude (required), longitude (required), bbox_size_m.
Check if the DEM Super-Resolution API is running and ready.
Returns health status, readiness status, and loaded model versions. Use this before running terrain analysis to confirm the server is up.
Inputs: no named parameters.
Get full super-resolved DEM and terrain metric grids for a location.
Returns the complete per-cell data suitable for map rendering and detailed spatial analysis. Response is large — use analyze_terrain for quick summaries.
Args: latitude: Center latitude in decimal degrees [-90, 90] longitude: Center longitude in decimal degrees [-180, 180] bbox_size_m: Bounding box size in meters [250, 5000], default 500 metrics: List of metrics to compute. Options: flow_direction, flow_accumulation, twi, erosion_risk, runoff_potential, site_intelligence_score, all. Default: all.
Returns: Full sr_dem grid, model info, shapes, and per-cell terrain metric grids.
Inputs: latitude (required), longitude (required), bbox_size_m, metrics.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 3 tools
Each tool serves a distinct purpose: health check, summary analysis, and full data retrieval. No overlap in functionality.
All tool names follow a consistent verb_noun snake_case pattern: analyze_terrain, check_api_health, get_full_terrain_data.
Three tools is reasonable for a focused terrain analysis server, covering health, summary, and full data. Could be expanded but not overly sparse.
The server covers the core workflow: health check, summary analysis, and detailed data retrieval. Missing features like listing available metrics or multiple locations, but not critical.
Elevation, slope, terrain maps & 3-D surfaces for any site — near-global 30 m, US 10 m, AU/NZ 5 m.
Flood, wildfire, soils, terrain, power grid, utilities and parcels for any US location, sourced.
Weather, climate, soil, terrain, fire and flood risk data for any point or polygon. Free tier.
Environmental intelligence for AI agents — climate, carbon, methane. Quote-first, prepaid.
