Nearmap (High-Res Aerial Imagery & AI) MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Nearmap (High-Res Aerial Imagery & AI) as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="nearmap_high_res_aerial_imagery_ai_agent",
tools=tools,
system_message=(
"You help users with Nearmap (High-Res Aerial Imagery & AI). "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Nearmap (High-Res Aerial Imagery & AI) tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Nearmap (High-Res Aerial Imagery & AI) MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Nearmap (High-Res Aerial Imagery & AI) automatically
Why Use AutoGen with the Nearmap (High-Res Aerial Imagery & AI) MCP Server
AutoGen provides unique advantages when paired with Nearmap (High-Res Aerial Imagery & AI) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Nearmap (High-Res Aerial Imagery & AI) tools to solve complex tasks
Role-based architecture lets you assign Nearmap (High-Res Aerial Imagery & AI) tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Nearmap (High-Res Aerial Imagery & AI) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Nearmap (High-Res Aerial Imagery & AI) tool responses in an isolated environment
Nearmap (High-Res Aerial Imagery & AI) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Nearmap (High-Res Aerial Imagery & AI) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Nearmap (High-Res Aerial Imagery & AI) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Nearmap (High-Res Aerial Imagery & AI), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Nearmap (High-Res Aerial Imagery & AI) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Nearmap (High-Res Aerial Imagery & AI) responses in a sandboxed execution environment
Nearmap (High-Res Aerial Imagery & AI) MCP Tools for AutoGen (10)
These 10 tools become available when you connect Nearmap (High-Res Aerial Imagery & AI) to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Nearmap (High-Res Aerial Imagery & AI) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Nearmap (High-Res Aerial Imagery & AI) + AutoGen FAQ
Common questions about integrating Nearmap (High-Res Aerial Imagery & AI) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect Nearmap (High-Res Aerial Imagery & AI) to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.