Nearmap (High-Res Aerial Imagery & AI) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Nearmap (High-Res Aerial Imagery & AI) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"nearmap-high-res-aerial-imagery-ai": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Nearmap (High-Res Aerial Imagery & AI), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Nearmap (High-Res Aerial Imagery & AI) through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Nearmap (High-Res Aerial Imagery & AI) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Nearmap (High-Res Aerial Imagery & AI) via MCP
Why Use LangChain with the Nearmap (High-Res Aerial Imagery & AI) MCP Server
LangChain provides unique advantages when paired with Nearmap (High-Res Aerial Imagery & AI) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Nearmap (High-Res Aerial Imagery & AI) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Nearmap (High-Res Aerial Imagery & AI) queries for multi-turn workflows
Nearmap (High-Res Aerial Imagery & AI) + LangChain Use Cases
Practical scenarios where LangChain combined with the Nearmap (High-Res Aerial Imagery & AI) MCP Server delivers measurable value.
RAG with live data: combine Nearmap (High-Res Aerial Imagery & AI) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Nearmap (High-Res Aerial Imagery & AI), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Nearmap (High-Res Aerial Imagery & AI) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Nearmap (High-Res Aerial Imagery & AI) tool call, measure latency, and optimize your agent's performance
Nearmap (High-Res Aerial Imagery & AI) MCP Tools for LangChain (10)
These 10 tools become available when you connect Nearmap (High-Res Aerial Imagery & AI) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Nearmap (High-Res Aerial Imagery & AI) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNearmap (High-Res Aerial Imagery & AI) + LangChain FAQ
Common questions about integrating Nearmap (High-Res Aerial Imagery & AI) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Nearmap (High-Res Aerial Imagery & AI) with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Nearmap (High-Res Aerial Imagery & AI) to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.