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

Bring high-res aerial imagery and vector features into your terminal. Pipe Nearmap data straight into your shell scripts with Claude Code.

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

Create your Vinkius account to connect Nearmap (High-Res Aerial Imagery & AI) to Claude Code 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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Headless Geospatial Pipelines

You live in the terminal, and now your mapping data does too. Run a single command to have your agent pull a `get_true_ortho_tile` and pipe the lean-corrected imagery directly into your processing pipeline or AWS S3 bucket. For automated property analysis, you can trigger `get_ai_detected_features` via a cron job. The agent grabs the vector geometries for buildings and pools, formatting the output exactly how your downstream scripts expect it.

CLI-Driven Topography (MCP Server)

Pulling elevation data usually requires heavy desktop GIS software. This MCP Server changes that. Just tell your CLI agent to grab a `get_dsm_elevation_tile` to extract pixelated surface models for a specific coordinate. If you need to verify structural details from a script, ask the agent for a `get_oblique_tile`. It will pull the 3D-angled imagery tiles pointing in the exact cardinal direction you need, ready for processing.

Automate Coverage Audits in CI/CD

Stop failing builds because of missing map data. You can integrate `check_coverage_polygon` into your CI/CD workflows to verify internal aerial survey boundaries before deploying new regional features. The agent can also iterate through chronological availability using `list_survey_dates`. It pulls `get_survey_metadata` to confirm the GSD resolutions meet your project requirements before executing the rest of the pipeline.

Setup guide

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

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see nearmap-high-res-aerial-imagery-ai-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest Nearmap (High-Res Aerial Imagery & AI) transactions." It will automatically discover and invoke the available Nearmap (High-Res Aerial Imagery & AI) tools.

Terminal
claude mcp add --transport http nearmap-high-res-aerial-imagery-ai-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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

Run the CLI command claude mcp add --transport http nearmap -- . Make sure all flags come before the server name. You can verify the connection with claude mcp list.
Yes. Because this client is terminal-only, you can run it inside any CI/CD pipeline. Have it call `check_coverage_point` to validate coordinates automatically during a build step.
Tell the agent to execute `list_ai_feature_classes` to find the exact taxonomy you need. Then instruct it to pull the vector boundaries and pipe the raw JSON into your local files.
It handles it completely. You provide the raw latitude and longitude, and the agent calculates the specific parameters needed for `get_vertical_tile` before making the request.
Your authentication token and temporal history array requests never touch persistent storage. Vinkius routes the terminal commands through a secure, ephemeral V8 sandbox that drops all context the moment the CLI receives the response.

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