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 Google ADK 10 tools — connect in under 2 minutes

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

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Nearmap (High-Res Aerial Imagery & AI) as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="nearmap_high_res_aerial_imagery_ai_agent",
    instruction=(
        "You help users interact with Nearmap (High-Res Aerial Imagery & AI) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports Nearmap (High-Res Aerial Imagery & AI) as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Nearmap (High-Res Aerial Imagery & AI) via MCP

Why Use Google ADK with the Nearmap (High-Res Aerial Imagery & AI) MCP Server

Google ADK provides unique advantages when paired with Nearmap (High-Res Aerial Imagery & AI) through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Nearmap (High-Res Aerial Imagery & AI)

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Nearmap (High-Res Aerial Imagery & AI) tools with BigQuery, Vertex AI, and Cloud Functions

Nearmap (High-Res Aerial Imagery & AI) + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Nearmap (High-Res Aerial Imagery & AI) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Nearmap (High-Res Aerial Imagery & AI) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Nearmap (High-Res Aerial Imagery & AI) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Nearmap (High-Res Aerial Imagery & AI)

Nearmap (High-Res Aerial Imagery & AI) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Nearmap (High-Res Aerial Imagery & AI) to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Nearmap (High-Res Aerial Imagery & AI) + Google ADK FAQ

Common questions about integrating Nearmap (High-Res Aerial Imagery & AI) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.