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

Q: How do I search for historical aerial flights using Nearmap (High-Res Aerial Imagery & AI) in Claude Desktop?

Use the listsurveydates tool to return a chronological list of all flight captures for your coordinates. Your agent parses this list to show you exactly when Nearmap imaged the area, letting you track property changes over time.

Q: Can I extract building footprints with Nearmap (High-Res Aerial Imagery & AI) on Claude Desktop?

Yes, the getaidetectedfeatures tool pulls vector geometries for buildings, solar panels, and pools. Your AI client parses these computer vision bounds to give you dimensions and locations directly in your chat.

Q: Does this Nearmap (High-Res Aerial Imagery & AI) MCP Server support 3D-angled views in Claude Desktop?

Yes, you can retrieve angled perspectives using the getobliquetile tool. It pulls tiles facing North, South, East, or West to help you inspect structural facades and heights.

Q: How do I verify if Nearmap has imagery for a specific property?

Run checkcoveragepoint or checkcoveragepolygon to verify if your target coordinates fall within active capture boundaries. This prevents wasted API calls by confirming coverage before requesting heavy imagery tiles.

Pull sub-decimeter aerial imagery and computer vision building footprints into Claude Desktop with this MCP Server.

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

Create your Vinkius account to connect Nearmap (High-Res Aerial Imagery & AI) to Claude Desktop 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 Claude Desktop

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Extract structural features in Claude Desktop

The `get_ai_detected_features` tool extracts vector geometries for buildings, pools, vegetation, and solar panels directly inside your chat. Your agent reads these precise computer vision boundaries to analyze properties without manual searching. You can also inspect the taxonomy using `list_ai_feature_classes` to see what structural elements are available for your target area. This means you get instant spatial context during underwriting or planning. Instead of opening a separate GIS application, you ask your AI client to scan the coordinates and return the exact footprint coordinates.

Pull top-down and angled imagery tiles

The `get_vertical_tile` tool retrieves high-resolution static nadir aerial imagery tiles for any verified capture boundary. If you need to see a building from different angles to check roof pitches or side walls, the `get_oblique_tile` tool brings in 3D-angled perspectives pointing North, South, East, or West. For zero-parallax alignments, your agent uses `get_true_ortho_tile` to get lean-corrected top-down layers. Having these visual assets inside Claude Desktop lets you verify property conditions on the spot.

Audit survey history and elevation data

The `list_survey_dates` tool maps out all temporal captures crossing your target nodes so you know exactly when flights occurred. You then use `get_survey_metadata` to look up the ground sample distance resolution and optical flight details. To round out your physical analysis, `get_dsm_elevation_tile` extracts a pixelated Digital Surface Model of the terrain and building heights. This MCP server lets you check if a structure has changed over time without leaving your workspace.

Setup guide

Set up Nearmap (High-Res Aerial Imagery & AI) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Nearmap (High-Res Aerial Imagery & AI) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

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

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under nearmap-high-res-aerial-imagery-ai-mcp.

json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nearmap. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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

Use the `list_survey_dates` tool to return a chronological list of all flight captures for your coordinates. Your agent parses this list to show you exactly when Nearmap imaged the area, letting you track property changes over time.

Yes, the `get_ai_detected_features` tool pulls vector geometries for buildings, solar panels, and pools. Your AI client parses these computer vision bounds to give you dimensions and locations directly in your chat.

Yes, you can retrieve angled perspectives using the `get_oblique_tile` tool. It pulls tiles facing North, South, East, or West to help you inspect structural facades and heights.

Run `check_coverage_point` or `check_coverage_polygon` to verify if your target coordinates fall within active capture boundaries. This prevents wasted API calls by confirming coverage before requesting heavy imagery tiles.

Your latitude, longitude, and polygon coordinate data are processed locally within the Vinkius sandbox and sent directly to the Nearmap API via secure, ephemeral HTTPS requests. No spatial lookups or structural payloads are stored on external servers, keeping your proprietary property portfolios completely private.

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