# Nearmap MCP for AI Agents AI Agent Connect > Nearmap MCP for AI Agents. Manage high-resolution aerial imagery and geospatial data directly from your AI client. Use it to pull sub-15cm nadir imagery, extract AI-detected features like solar panels and buildings, or audit survey coverage across specific polygons. It turns your agent into a geospatial analyst. ## Overview - **Category:** the-unthinkable - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_oViNLOTWVhYk2I41UhrykHsqYqXvqSGGO7q494hx/ai-agent-connect - **Tags:** aerial-imagery, geospatial-ai, location-intelligence, computer-vision, site-verification, topographic-models ## Description This Nearmap MCP lets you handle high-resolution aerial imagery and geospatial data through natural conversation. Instead of jumping between tabs and manually searching for specific tiles, you can ask your agent to pull sub-15cm nadir imagery for a specific coordinate. You can also have it automatically detect and extract vector geometries for buildings, swimming pools, solar panels, and vegetation within a specific area. It handles the heavy lifting of pulling in 3D-angled imagery to audit structural facades or extracting Digital Surface Model (DSM) data for terrain analysis. Because it's hosted on Vinkius, you can plug these professional-grade capabilities into your existing workflow without the friction of manual API management. You're moving from hunting for data to getting actual answers for your site audits, urban planning, or solar installations. You can quickly verify site conditions, track site changes over time by looking at survey history, or get precise measurements from lean-corrected top-down layers. You can check for roof damage on a massive scale or verify the dimensions of a new construction site. This tool puts the power of world-class geospatial intelligence directly into your chat interface. You can focus on making decisions rather than managing data feeds. ## Tools ### check_coverage_point See if Nearmap has captured imagery at a specific coordinate and view the history. It helps you verify data availability instantly. ### check_coverage_polygon Verify if a whole area or custom shape has been surveyed. This is great for checking large project boundaries. ### get_dsm_elevation_tile Get elevation data to see terrain peaks and building heights. It provides pixelated surface models for topographic analysis. ### list_survey_dates Find out when specific areas were last flown over or surveyed. This allows you to track chronological site changes. ### get_survey_metadata Get technical details like Ground Sample Distance and optical capture info. Use this to verify the quality of a specific flyover. ### get_vertical_tile Pull high-resolution vertical imagery for a specific site or boundary. These are ideal for standard nadir site inspections. ### list_ai_feature_classes See the types of objects the AI can detect, like roof arrays or vegetation. This helps you understand available detection categories. ### get_ai_detected_features Pull vector geometries for buildings, pools, and solar panels in a specific area. Use this to get precise coordinates for detected features. ### get_oblique_tile Grab 3D-angled views from the North, South, East, or West to see building sides. Use this to audit structural facades. ### get_true_ortho_tile Get perfectly flat, lean-corrected top-down maps for precise measurements. These layers provide zero parallax for mapping. ## Prompt Examples **Prompt:** ``` Can you check the roof of 123 Main St for any visible damage? ``` **Response:** ``` Checking property at 123 Main St... | Feature | Status | Notes | | :--- | :--- | :--- | | **Roof Condition** | Minor Damage | Identified missing shingles on the southeast corner. | | **Solar Arrays** | None | No existing panels detected. | | **Vegetation** | Overhanging | Trees are encroaching on the western edge. | I've pulled the latest high-res imagery for this site. Would you like the full GeoJSON for these features? ``` **Prompt:** ``` Find all solar panels within 100m of this point. ``` **Response:** ``` Scanning the area... I've identified **3 solar arrays** within a 100m radius of your coordinates. * **Array 1:** ~45 sq meters (High confidence) * **Array 2:** ~30 sq meters (Partial view) * **Array 3:** ~60 sq meters (High confidence) I can provide the full vector geometries for these detections if you'd like. ``` **Prompt:** ``` Give me the 3D view of the north side of this building. ``` **Response:** ``` Retrieving oblique perspective... I've fetched the 3D-angled imagery looking North for your target. **View Details:** * **Perspective:** North Oblique * **Target:** Main Structural Facade * **Resolution:** High-Res This view clearly shows the structural orientation. Would you like to see the South or East perspectives for a comparison? ``` ## Capabilities ### Pull high-res nadir imagery Get sub-15cm vertical aerial shots for specific coordinates. ### Extract building and pool geometries Identify and pull vector data for structures and swimming pools. ### Scan for solar panel arrays Automatically detect solar installations within a specific radius. ### Check survey coverage for specific areas Verify if a point or polygon has been captured in previous surveys. ### Get 3D-angled oblique views Retrieve side views of buildings from North, South, East, and West. ### Retrieve elevation and terrain data Pull Digital Surface Model tiles for terrain and height analysis. ## Use Cases ### Insurance Property Audit An adjuster asks for a roof check on a specific address to look for storm damage. The agent pulls the high-res imagery and identifies features. ### Solar Site Feasibility An installer wants to find all existing solar arrays in a 100m radius of a house. The agent scans the area and returns the geometries. ### Urban Development Planning A planner needs to know the elevation of a plot to see if it's suitable for construction. The agent pulls the DSM data for the area. ### Construction Survey Audit A project manager checks if a new construction site has been surveyed in the last 6 months. The agent retrieves the survey history. ## Benefits - Stop manual site visits by auditing property conditions and roof features from your desk using `get_vertical_tile`. - Automate feature counting for solar installers by pulling building and pool geometries with `get_ai_detected_features`. - Get accurate terrain data for urban planning by pulling elevation tiles with `get_dsm_elevation_tile`. - Verify site availability instantly across complex shapes using `check_coverage_polygon` to save time on data scouting. - Analyze building facades and heights from different angles by grabbing 3D views with `get_oblique_tile`. ## How It Works The bottom line is you get professional geospatial data and AI features without leaving your AI client. 1. Subscribe to the Connector and enter your Nearmap API Key. 2. Connect your preferred AI client to the Vinkius catalog. 3. Ask your agent to find specific sites or extract features. ## Frequently Asked Questions **Can the Nearmap MCP find solar panels?** Yes, this Connector allows your agent to automatically detect and extract vector geometries for solar arrays within a specific area. **How do I check if a property has been surveyed?** You can ask your agent to check the survey history for any specific point or polygon. It will tell you if imagery is available and when it was captured. **Can I see 3D views of buildings?** Yes, you can retrieve oblique imagery from the North, South, East, and West to see building facades and heights in 3D-angled views. **What kind of imagery does Nearmap provide?** It provides world-class high-resolution aerial imagery, including sub-15cm vertical nadir tiles and lean-corrected true ortho layers. **Can I use this for urban planning?** Absolutely. It's designed for urban planners to verify site dimensions and pull topographic elevation data for terrain analysis. **Does this work for insurance claims?** It is widely used by insurance adjusters to audit property conditions and detect roof features without needing to visit every site manually. **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.