How high is the resolution of Nearmap imagery compared to standard satellite maps?

Nearmap provides high-resolution aerial imagery at sub-15cm (approx. 6 inch) Ground Sample Distance (GSD). This is significantly sharper than typical satellite imagery (usually 30cm-50cm), allowing your agent to identify fine site details like roof vents, pavement cracks, or pool conditions.

Can my agent automatically detect solar panels or swimming pools on a property?

Yes. Use the `get_ai_detected_features` tool. Nearmap's AI analyzes recent surveys to return vector geometries for specific feature classes like 'Solar Panels' or 'Swimming Pools', including confidence thresholds and area measurements.

What is 'Oblique' imagery and how do I access it through the agent?

Oblique imagery is captured at a 45-degree angle rather than straight down. Use the `get_oblique_tile` tool and specify a direction (North, South, East, West). This allows your agent to audit building facades, structural heights, and side-view property details.

Nearmap (High-Res Aerial Imagery & AI) MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Nearmap (High-Res Aerial Imagery & AI)
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Nearmap (High-Res Aerial Imagery & AI) and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Nearmap (High-Res Aerial Imagery & AI) MCP Server

Connect your Nearmap account to any AI agent and take full control of world-class high-resolution aerial imagery, geospatial AI insights, and topographic surface models through natural conversation.

GitHub Copilot Agent mode brings Nearmap (High-Res Aerial Imagery & AI) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Aerial Orchestration — Retrieve sub-15cm resolution vertical (nadir) imagery tiles using Web Mercator coordinates to verify site conditions directly from your agent
AI Feature Extraction — Automatically detect and extract vector geometries for buildings, swimming pools, solar panels, and vegetation within specific geographic radii
Perspective Oblique Imagery — Access 3D-angled imagery from North, South, East, and West viewpoints to audit structural facades and building heights securely
Coverage & Survey Audit — Verify imagery availability across specific points or complex polygons and retrieve chronological survey dates to track site changes over time
Topographic Modeling — Extract Digital Surface Model (DSM) elevation tiles to analyze terrain peaks, building heights, and surface volumes natively within your workspace
True Ortho Visualization — Retrieve geometric lean-corrected top-down layers providing zero parallax alignments for perfect geospatial mapping and precision measurement
Survey Metadata — Query explicit flight parameters including Ground Sample Distance (GSD) and optical capture details for any specific aerial flyover

The Nearmap (High-Res Aerial Imagery & AI) MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

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

Follow these steps to integrate the Nearmap (High-Res Aerial Imagery & AI) MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Nearmap (High-Res Aerial Imagery & AI)

Ask Copilot: "Using Nearmap (High-Res Aerial Imagery & AI), help me..." — 10 tools available

Why Use VS Code Copilot with the Nearmap (High-Res Aerial Imagery & AI) MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Nearmap (High-Res Aerial Imagery & AI) through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Nearmap (High-Res Aerial Imagery & AI) + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Nearmap (High-Res Aerial Imagery & AI) MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Nearmap (High-Res Aerial Imagery & AI) MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Nearmap (High-Res Aerial Imagery & AI) to VS Code Copilot via MCP:

check_coverage_point

Verify Nearmap capture boundaries matching geospatial point resolving temporal history arrays

check_coverage_polygon

Verify internal aerial survey boundary masks checking imagery intersections across mapped polygons

get_ai_detected_features

Extract vector geometry parsing buildings, pools, vegetation, solar panels via automated CV features bounds

get_dsm_elevation_tile

Extract pixelated Digital Surface Model mapping topographic terrain and building peak heights

get_oblique_tile

Retrieve oblique perspective 3D-angled imagery tiles pointing North, South, East, West locating structural targets

get_survey_metadata

Query explicitly bounded survey parameters finding GSD resolutions finding optical flight details

get_true_ortho_tile

Retrieve lean-corrected true geometric top-down bounding layers capturing zero parallax alignments

get_vertical_tile

Retrieve high-resolution vertical static nadir aerial imagery tiles tracking captured boundaries

list_ai_feature_classes

Lookup all internal AI category taxonomies evaluating computer vision mappings detecting roof arrays

list_survey_dates

Iterate chronological availability boundaries mapping all temporal captures crossing target nodes

Example Prompts for Nearmap (High-Res Aerial Imagery & AI) in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Nearmap (High-Res Aerial Imagery & AI) immediately.

"Get the latest high-res vertical imagery for coordinates '34.0522,-118.2437'"

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

"Show me the oblique view from the North for this building coordinate"

Troubleshooting Nearmap (High-Res Aerial Imagery & AI) MCP Server with VS Code Copilot

Common issues when connecting Nearmap (High-Res Aerial Imagery & AI) to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Nearmap (High-Res Aerial Imagery & AI) + VS Code Copilot FAQ

Common questions about integrating Nearmap (High-Res Aerial Imagery & AI) MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.