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

Q: Can we query historical flights using Nearmap (High-Res Aerial Imagery & AI) in VS Code Copilot?

Yes, the listsurveydates tool lets you iterate chronological availability boundaries across your target nodes. Your agent parses these dates to show your development team exactly when the aerial imagery was updated.

Q: How do we pull elevation profiles with Nearmap (High-Res Aerial Imagery & AI) in VS Code Copilot?

Use the getdsmelevationtile tool to extract a pixelated Digital Surface Model mapping topographic terrain and building peak heights. Copilot uses this data to write scripts that calculate structural heights and slope angles.

Q: How do we verify the ground resolution of the aerial imagery?

Run the getsurveymetadata tool to query explicitly bounded survey parameters. It returns the exact ground sample distance resolution and optical flight details for the captured tiles.

Share high-resolution aerial imagery and computer vision building features across your team using this VS Code Copilot MCP Server.

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Connect Nearmap (High-Res Aerial Imagery & AI) MCP to VS Code Copilot

Create your Vinkius account to connect Nearmap (High-Res Aerial Imagery & AI) to VS Code Copilot 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 VS Code Copilot

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Query survey coverage in VS Code Copilot

The `check_coverage_polygon` tool verifies internal aerial survey boundary masks checking imagery intersections across mapped polygons. Your team can run this in VS Code Copilot to confirm if target sites fall within Nearmap's capture zones before committing to heavy data pipelines. This lets you build collaborative workflows. Commit the MCP Server configuration to your repository, and every developer can instantly verify coordinates using `check_coverage_point` without manual setups.

Retrieve vertical and oblique imagery

The `get_vertical_tile` tool retrieves high-resolution vertical static nadir aerial imagery tiles tracking captured boundaries. For structural engineering or hazard assessment, the `get_oblique_tile` tool pulls 3D-angled perspective tiles facing North, South, East, or West. Your agent can combine these with `get_true_ortho_tile` to parse lean-corrected top-down layers. This brings high-fidelity visual evidence directly into your team's pull requests and code reviews.

Extract AI structural features programmatically

The `get_ai_detected_features` tool extracts vector geometry parsing buildings, pools, vegetation, and solar panels via automated computer vision. Your team uses this tool to build automated property risk models directly within your shared workspace. You can inspect the available categories with `list_ai_feature_classes` to verify what attributes your models can detect. This turns your editor into a spatial feature pipeline, pulling real-world footprints into your local databases.

Setup guide

Set up Nearmap (High-Res Aerial Imagery & AI) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

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

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Nearmap (High-Res Aerial Imagery & AI) tools listed. Try asking: "List my recent Nearmap (High-Res Aerial Imagery & AI) transactions" and Copilot will invoke them automatically.

.vscode/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 VS Code Copilot

Yes, the `list_survey_dates` tool lets you iterate chronological availability boundaries across your target nodes. Your agent parses these dates to show your development team exactly when the aerial imagery was updated.

Use the `get_dsm_elevation_tile` tool to extract a pixelated Digital Surface Model mapping topographic terrain and building peak heights. Copilot uses this data to write scripts that calculate structural heights and slope angles.

Yes, you can commit the MCP configuration file to your shared repository. This gives your entire engineering team instant access to the aerial imagery and computer vision tools inside their editors.

Run the `get_survey_metadata` tool to query explicitly bounded survey parameters. It returns the exact ground sample distance resolution and optical flight details for the captured tiles.

All geospatial coordinates, bounding polygons, and imagery requests are routed through an isolated V8 sandbox. This setup ensures that your proprietary location data is transmitted directly to Nearmap's API via encrypted channels and never logged, cached, or exposed to external entities.

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