Compatible with every major AI agent and IDE
Check coverage point on Nearmap (High-Res Aerial Imagery & AI)
Verify Nearmap capture boundaries matching geospatial point resolving temporal history arrays
Check coverage polygon on Nearmap (High-Res Aerial Imagery & AI)
Verify internal aerial survey boundary masks checking imagery intersections across mapped polygons
Get ai detected features on Nearmap (High-Res Aerial Imagery & AI)
Extract vector geometry parsing buildings, pools, vegetation, solar panels via automated CV features bounds
Get dsm elevation tile on Nearmap (High-Res Aerial Imagery & AI)
Extract pixelated Digital Surface Model mapping topographic terrain and building peak heights
Get oblique tile on Nearmap (High-Res Aerial Imagery & AI)
Retrieve oblique perspective 3D-angled imagery tiles pointing North, South, East, West locating structural targets
Get survey metadata on Nearmap (High-Res Aerial Imagery & AI)
Query explicitly bounded survey parameters finding GSD resolutions finding optical flight details
Get true ortho tile on Nearmap (High-Res Aerial Imagery & AI)
Retrieve lean-corrected true geometric top-down bounding layers capturing zero parallax alignments
Get vertical tile on Nearmap (High-Res Aerial Imagery & AI)
Retrieve high-resolution vertical static nadir aerial imagery tiles tracking captured boundaries
List ai feature classes on Nearmap (High-Res Aerial Imagery & AI)
Lookup all internal AI category taxonomies evaluating computer vision mappings detecting roof arrays
List survey dates on Nearmap (High-Res Aerial Imagery & AI)
Iterate chronological availability boundaries mapping all temporal captures crossing target nodes
How Vinkius protects your data
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 happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Automated Workflows using Nearmap (High-Res Aerial Imagery & AI)
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Nearmap (High-Res Aerial Imagery & AI) MCP server to manage operations across the following domains.
AI Semantic Routing for aerial imagery
Integrate Nearmap (High-Res Aerial Imagery & AI) for AI-driven aerial imagery management. The MCP server structures the outputs required for Claude to analyze the unthinkable data.
Cursor Copilot for geospatial ai
Use the Nearmap (High-Res Aerial Imagery & AI) MCP to manage geospatial ai requests. Models like Claude Code utilize this connection to perform reliable the unthinkable updates.
Nearmap (High-Res Aerial Imagery & AI). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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