Nearmap (High-Res Aerial Imagery & AI) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Nearmap (High-Res Aerial Imagery & AI) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Nearmap (High-Res Aerial Imagery & AI) Assistant",
instructions=(
"You help users interact with Nearmap (High-Res Aerial Imagery & AI). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Nearmap (High-Res Aerial Imagery & AI)"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 10 tools from Nearmap (High-Res Aerial Imagery & AI) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Nearmap (High-Res Aerial Imagery & AI), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Nearmap (High-Res Aerial Imagery & AI) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Nearmap (High-Res Aerial Imagery & AI)
Why Use OpenAI Agents SDK with the Nearmap (High-Res Aerial Imagery & AI) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Nearmap (High-Res Aerial Imagery & AI) through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Nearmap (High-Res Aerial Imagery & AI) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Nearmap (High-Res Aerial Imagery & AI) MCP Server delivers measurable value.
Automated workflows: build agents that query Nearmap (High-Res Aerial Imagery & AI), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Nearmap (High-Res Aerial Imagery & AI), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Nearmap (High-Res Aerial Imagery & AI) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Nearmap (High-Res Aerial Imagery & AI) to resolve tickets, look up records, and update statuses without human intervention
Nearmap (High-Res Aerial Imagery & AI) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Nearmap (High-Res Aerial Imagery & AI) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Nearmap (High-Res Aerial Imagery & AI) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Nearmap (High-Res Aerial Imagery & AI) + OpenAI Agents SDK FAQ
Common questions about integrating Nearmap (High-Res Aerial Imagery & AI) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Nearmap (High-Res Aerial Imagery & AI) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Nearmap (High-Res Aerial Imagery & AI) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.