# Nearmap MCP

> Nearmap gives you full control over high-resolution aerial imagery and geospatial insights right through your agent. You can retrieve sub-15cm vertical images, automatically detect vector geometries for buildings or solar panels, model terrain elevation, and audit survey coverage without ever leaving your chat window.

## Overview
- **Category:** the-unthinkable
- **Price:** Free
- **Tags:** aerial-imagery, geospatial-ai, location-intelligence, computer-vision, site-verification, topographic-models

## Description

Tired of opening ten different GIS layers just to check a property? This MCP connects your AI client directly to Nearmap’s world-class geospatial data. You can ask natural questions—like 'Show me the roof condition for this building and tell me if there are any solar arrays visible.' Your agent handles the rest, pulling together vertical imagery tiles, structural measurements, and AI-detected features instantly. Instead of downloading multiple complex datasets, you get a single conversation that synthesizes everything from topographic models to oblique views. Because Vinkius hosts this MCP, all your specialized geospatial tools live in one place, accessible through any compatible client.

## Tools

### list_ai_feature_classes
Looks up all internal AI categories used to map things like rooftop arrays.

### get_ai_detected_features
Pulls out vector shapes for buildings, pools, vegetation, and solar panels using automated computer vision.

### check_coverage_point
Verifies if Nearmap captured imagery exists at a specific latitude/longitude point while checking its historical record.

### check_coverage_polygon
Confirms if the aerial survey covered an entire mapped area or polygon, checking for gaps in the imagery boundaries.

### get_dsm_elevation_tile
Extracts pixelated Digital Surface Model data to map terrain and building height measurements.

### get_oblique_tile
Retrieves 3D-angled imagery tiles from the North, South, East, or West directions for structural targets.

### list_survey_dates
Shows a list of all dates that have captured data crossing your target location.

### get_survey_metadata
Queries specific flight details, including the Ground Sample Distance (GSD) and optical capture settings for an aerial flyover.

### get_true_ortho_tile
Retrieves top-down layers that are corrected for geometric lean, ensuring zero parallax alignment for mapping.

### get_vertical_tile
Gets high-resolution vertical imagery tiles taken straight down (nadir) over the captured boundaries.

## Prompt Examples

**Prompt:** 
```
Get the latest high-res vertical imagery for coordinates '34.0522,-118.2437'
```

**Response:** 
```
Retrieving imagery… I've identified the tile coordinates for downtown Los Angeles at zoom level 20. The most recent survey was captured on Feb 12, 2026. Here is the vertical imagery URL for your inspection. Would you like me to check for AI-detected features at this location?
```

**Prompt:** 
```
Detect all solar panels within a 100m radius of this point: [lat,lon]
```

**Response:** 
```
Running AI feature extraction… I've identified 3 solar arrays within the specified radius. The detected features include high-confidence vector geometries. Array 1 covers approximately 45 sq meters. I can provide the full GeoJSON for these detections if you'd like.
```

**Prompt:** 
```
Show me the oblique view from the North for this building coordinate
```

**Response:** 
```
Retrieving oblique perspective… I've fetched the perspective tile looking North for your target. This view clearly shows the structural facade and roof orientation. Would you like me to retrieve the South or East perspectives for a complete comparison?
```

## Capabilities

### Check site conditions with high-res imagery
You can pull vertical aerial tiles down to sub-15cm resolution using coordinates to verify exactly what's happening on a specific piece of land.

### Extract structures and features automatically
The tool scans the imagery and pulls out vector shapes for common elements like buildings, pools, solar panels, and vegetation so you don't have to trace them manually.

### Analyze building facades from multiple angles
Access 3D-angled views pointing North, South, East, or West. This is perfect for auditing structural details or measuring building height without site visits.

### Audit survey history and coverage
Verify if imagery exists across a specific point or complex polygon, and pull up the dates of previous surveys to track changes over time.

### Model ground elevation and terrain volume
Extract Digital Surface Model (DSM) tiles that let you analyze building height, surface peaks, and overall topographic volumes.

## Use Cases

### Assessing a potential insurance claim
The adjuster needs to check roof damage and structural integrity on an old house. They ask their agent, 'Show me the North oblique view for these coordinates.' The MCP responds instantly with the correct tile, allowing them to document facade damage without needing to physically visit.

### Optimizing solar panel placement
The installer needs to know exactly where existing arrays are and what the roof geometry is. They run `get_ai_detected_features` around the site, which pulls out high-confidence vector data for all visible panels, allowing them to plan resource allocation efficiently.

### Verifying construction blueprints
The architect needs to confirm a client's property lines match the survey. They use `check_coverage_polygon` on their master map boundaries; if any area is blank, they know exactly where more data is needed before finalizing plans.

### Comparing site conditions over time
The planner needs to prove that a wetland boundary has been encroached upon. They use `list_survey_dates` and then pull the specific imagery from two different dates, providing concrete evidence of change.

## Benefits

- Stop guessing about site dimensions. With this MCP, you can retrieve high-resolution vertical imagery tiles using the `get_vertical_tile` tool to verify exact conditions at a specific location.
- Skip manual feature mapping. The `get_ai_detected_features` tool automatically extracts vector geometries for buildings and solar panels, saving hours of manual tracing work.
- Get full structural context without leaving your desk. Use the `get_oblique_tile` tool to pull 3D-angled views from all cardinal directions (N, S, E, W) for comprehensive building audits.
- Never wonder if a site was surveyed correctly again. You can use `check_coverage_polygon` and `list_survey_dates` to audit imagery availability across complex areas and track historical changes.
- Analyze elevation instantly. By calling the `get_dsm_elevation_tile` tool, your agent provides Digital Surface Model data needed for calculating terrain peaks or volume shifts.

## How It Works

The bottom line is you get to use complex mapping and AI analysis via simple chat prompts.

1. Subscribe to this MCP and enter your Nearmap API Key.
2. Start by directing your AI client with a natural query, such as asking for the elevation data or checking coverage boundaries.
3. Your agent processes the request, retrieving specific tiles—be it true ortho views or oblique perspectives—and presents the actionable geospatial data.

## Frequently Asked Questions

**How do I check if my coordinates are covered by Nearmap imagery?**
You use the `check_coverage_point` tool. This verifies if Nearmap captured data exists at your exact latitude and longitude, and it provides temporal history for that point.

**Can I detect solar panels using the Nearmap MCP?**
Yes, use `get_ai_detected_features`. This tool automatically extracts vector geometries specifically for identifying solar arrays and other roof components within a given radius.

**What is the difference between true ortho and vertical imagery tiles in Nearmap?**
True Ortho (`get_true_ortho_tile`) provides top-down, geometric alignment for perfect mapping. Vertical tiles (`get_vertical_tile`) provide a straight-down view of the captured boundaries.

**Do I need to worry about structural facades when auditing buildings?**
Use `get_oblique_tile`. This retrieves 3D-angled imagery that lets you look at the side and front of a building, giving you clear views of the structural facade and roof orientation.

**How can I get elevation data for a site?**
You call `get_dsm_elevation_tile`. This extracts the Digital Surface Model (DSM) tiles needed to analyze terrain peaks, building heights, and surface volumes.