How to Use the Nearmap (High-Res Aerial Imagery & AI) MCP in Cursor

Q: Can I retrieve elevation data using Nearmap (High-Res Aerial Imagery & AI) in Cursor?

Yes, the getdsmelevationtile tool extracts pixelated Digital Surface Model tiles showing topographic terrain and building peak heights. Your Cursor agent can use this data to calculate slope or height values directly in your code.

Q: How do I inspect available AI features with Nearmap (High-Res Aerial Imagery & AI) inside Cursor?

Use the listaifeatureclasses tool to look up the computer vision taxonomies. This lets your agent check what attributes—like roof arrays or vegetation—are available before writing extraction scripts.

Q: How does the Nearmap (High-Res Aerial Imagery & AI) MCP Server help me test mapping code in Cursor?

The getverticaltile tool pulls high-resolution aerial imagery directly into your project files. This allows your agent to write and test image processing algorithms using real-world imagery rather than placeholder graphics.

Q: How do I find out when an aerial survey was flown?

Run the getsurveymetadata tool to query explicitly bounded survey parameters. It returns the ground sample distance resolution and optical flight details for any specific capture.

Feed high-resolution aerial imagery and AI footprints into Cursor with this custom MCP Server.

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Connect Nearmap (High-Res Aerial Imagery & AI) MCP to Cursor

Create your Vinkius account to connect Nearmap (High-Res Aerial Imagery & AI) to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Nearmap (High-Res Aerial Imagery & AI) with Cursor

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Build spatial features in Cursor

The `get_ai_detected_features` tool extracts vector geometry for buildings, pools, and solar panels directly into your Cursor editor. Your active agent runs this tool to pull live computer vision boundaries, allowing it to generate working spatial code using actual coordinates instead of static mock data. This workflow changes how you build mapping applications. You ask the editor to write a parser for roof geometries, and it tests the code instantly against real spatial payloads retrieved from the API.

Fetch orthophotos and oblique angles in your editor

The `get_vertical_tile` tool retrieves high-resolution vertical static nadir aerial imagery tiles for any coordinate. When your code needs to evaluate structural facades or roof pitches, the `get_oblique_tile` tool pulls 3D-angled perspective tiles pointing in any cardinal direction. By combining these with `get_true_ortho_tile`, your agent gets lean-corrected top-down imagery with zero parallax. This lets you debug and refine your image processing pipelines with live, high-fidelity source files.

Verify coverage and metadata programmatically

The `check_coverage_polygon` tool verifies internal aerial survey boundary masks by checking imagery intersections across mapped polygons. You can also run `check_coverage_point` to quickly resolve temporal history arrays for a single coordinate before initiating heavy tile downloads. This MCP Server gives your workspace the tools to check boundaries and flight dates using `list_survey_dates`. You avoid processing errors by letting your agent write defensive code that validates coverage before requesting tiles.

Setup guide

Set up Nearmap (High-Res Aerial Imagery & AI) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Nearmap (High-Res Aerial Imagery & AI) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Nearmap (High-Res Aerial Imagery & AI) transactions." If the MCP tools are loaded correctly, Cursor will call the Nearmap (High-Res Aerial Imagery & AI) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "nearmap-high-res-aerial-imagery-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Nearmap (High-Res Aerial Imagery & AI) MCP in Cursor

Yes, the `get_dsm_elevation_tile` tool extracts pixelated Digital Surface Model tiles showing topographic terrain and building peak heights. Your Cursor agent can use this data to calculate slope or height values directly in your code.

Use the `list_ai_feature_classes` tool to look up the computer vision taxonomies. This lets your agent check what attributes—like roof arrays or vegetation—are available before writing extraction scripts.

The `get_vertical_tile` tool pulls high-resolution aerial imagery directly into your project files. This allows your agent to write and test image processing algorithms using real-world imagery rather than placeholder graphics.

Run the `get_survey_metadata` tool to query explicitly bounded survey parameters. It returns the ground sample distance resolution and optical flight details for any specific capture.

All geospatial coordinates, point variables, and polygon queries are processed in memory within Vinkius's secure sandbox. The data goes directly to the Nearmap API via TLS-encrypted connections, ensuring your proprietary geographic coordinates are never cached or exposed to third parties.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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