Nearmap (High-Res Aerial Imagery & AI) MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Nearmap (High-Res Aerial Imagery & AI) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"nearmap-high-res-aerial-imagery-ai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Nearmap (High-Res Aerial Imagery & AI) Agent",
instructions:
"You help users interact with Nearmap (High-Res Aerial Imagery & AI) " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Nearmap (High-Res Aerial Imagery & AI)?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Nearmap (High-Res Aerial Imagery & AI) tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Nearmap (High-Res Aerial Imagery & AI) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Nearmap (High-Res Aerial Imagery & AI) via MCP
Why Use Mastra AI with the Nearmap (High-Res Aerial Imagery & AI) MCP Server
Mastra AI provides unique advantages when paired with Nearmap (High-Res Aerial Imagery & AI) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Nearmap (High-Res Aerial Imagery & AI) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Nearmap (High-Res Aerial Imagery & AI) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Nearmap (High-Res Aerial Imagery & AI) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Nearmap (High-Res Aerial Imagery & AI) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Nearmap (High-Res Aerial Imagery & AI), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Nearmap (High-Res Aerial Imagery & AI) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Nearmap (High-Res Aerial Imagery & AI) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Nearmap (High-Res Aerial Imagery & AI) tools alongside other MCP servers
Nearmap (High-Res Aerial Imagery & AI) MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Nearmap (High-Res Aerial Imagery & AI) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Nearmap (High-Res Aerial Imagery & AI) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpNearmap (High-Res Aerial Imagery & AI) + Mastra AI FAQ
Common questions about integrating Nearmap (High-Res Aerial Imagery & AI) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect Nearmap (High-Res Aerial Imagery & AI) to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.