Geospatial Solutions
πŸ—ΊοΈ
πŸ€– Powered by MCP Agents

Interactive Mapping & Dashboards

Transform spatial data into actionable insight

20+ hrs/week
Time Saved
40%
Cost Reduction
95%
Accuracy
Industries Served:
Real Estate
Solar
Emergency Response
Utilities
Transportation

Overview

Build dynamic, interactive web maps and dashboards tailored to your metrics. Responsive design for desktop & mobile. Data-driven visualizations with instant chart/map sync powered by agentic workflows.

Visual Workflow

How It Works: Visual Breakdown

See the complete automation workflow with diagrams and code examples

Automated Workflow Diagram
Visual representation of the MCP agent workflow from trigger to delivery

System Architecture

Multi-layer architecture with n8n orchestration, MCP agent intelligence, PostGIS geoprocessing, and interactive visualization using Mapbox, Plotly, and Deck.gl.

πŸ—οΈComponent Architecture Diagram
Visual representation of system components, data flow, and integrations

βš™οΈKey Components

n8n Workflow Engine

Low-code automation platform orchestrating entire workflow

Azure OpenAI MCP Agent

Intelligent agent analyzing data requirements and generating insights

PostGIS Database

Spatial database with geometric operations and spatial indexing

Python GDAL/GeoPandas

Geospatial data processing and transformation

Mapbox GL JS

Interactive web maps with vector tiles and custom styling

Plotly.js

Statistical charts and time-series visualizations

Deck.gl

GPU-accelerated 3D visualizations and heatmaps

Diagram Legend
MCP AI Agents
Processing/Storage
Output/Visualization
Analytics/Monitoring

Visual Examples

See the solution in action with real dashboard examples and visual comparisons

πŸ–ΌοΈSolar Portfolio Dashboard
Interactive 3D map showing 50+ solar projects across 12 states with real-time capacity metrics
πŸ—ΊοΈπŸ“Š

Solar Portfolio Dashboard

Screenshot Placeholder

Image path: /mockups/solar-dashboard.png

Key Features:

βœ“3D column visualization with Deck.gl
βœ“Project phase funnel chart (Prospecting β†’ Operational)
βœ“State-level capacity aggregation
βœ“Interactive filters by state, phase, and capacity
βœ“Export to CSV, JSON, and PDF reports
πŸ–ΌοΈReal Estate Suitability Map
Buildable land analysis with constraint overlays and GO/NO-GO recommendations
πŸ—ΊοΈπŸ“Š

Real Estate Suitability Map

Screenshot Placeholder

Image path: /mockups/real-estate-dashboard.png

Key Features:

βœ“Color-coded parcels by suitability score
βœ“Constraint layer toggles (flood, wetland, slope, setbacks)
βœ“Suitability distribution histogram
βœ“Cost vs buildable area scatter plot
βœ“AI-generated parcel summaries
πŸ–ΌοΈDemographic Heat Map
US Census data visualization with income and population density overlays
πŸ—ΊοΈπŸ“Š

Demographic Heat Map

Screenshot Placeholder

Image path: /mockups/demographic-dashboard.png

Key Features:

βœ“Choropleth maps colored by median income
βœ“Population density heatmap layer
βœ“County-level demographic charts
βœ“Time-series trends for selected counties
βœ“Comparison mode for multiple geographies

πŸ’‘Note: The dashboard screenshots above are placeholders. Actual screenshots will be added after deploying Streamlit dashboards or capturing real application screenshots. Image paths are specified for easy integration.

πŸ€– Agentic Workflow

Automated MCP Agent Workflow

Powered by n8n, Make.com, and Model Context Protocol agents

Workflow Trigger
How the automation starts

User uploads dataset or requests new dashboard via webhook

1
Webhook Trigger
Receives user input (CSV/GeoJSON upload) or dashboard request
n8n
REST API
2
MCP Agent Analysis
AI agent analyzes dataset structure, identifies key metrics, suggests visualization types
MCP
Azure OpenAI
LangChain
MCP Agent Prompt:

β€œAnalyze this CSV of wind farm locations. Suggest the best metrics for a dashboard (capacity by region, turbine density, production trends) and recommend visualization types (choropleth map for capacity, time series for production, bar chart for top performers). Generate a summary for the user.”

3
Data Processing
Spatial aggregations, calculations, and metric generation
PostGIS
Python
GeoPandas
4
Visualization Generation
Create interactive map (Mapbox GL JS) and charts (Plotly)
Mapbox GL JS
Plotly
D3.js
5
Dashboard Deployment
Generate dashboard URL, embed code, and configuration
Next.js
React
TypeScript
6
Notification
Send dashboard link and access instructions to user
SendGrid
Slack API
Microsoft Teams
Deliverables
What you receive automatically
  • Interactive webmap with custom styling
  • Real-time charts synced with map selection
  • Shareable dashboard URL
  • Embed code for integration
  • Mobile-responsive interface
  • Automated email/Slack notification

Key Features

Real-time data sync from 20+ APIs

Custom Mapbox GL JS styling with 3D visualizations

Interactive Plotly charts with drill-down

Microsoft Copilot natural language queries

Mobile-responsive design (iOS/Android)

Role-based access control

Automated email/Slack/Teams notifications

Export to PDF, PNG, or data download

Technology Stack

Automation
n8n
Make.com
Power Automate
GIS & Mapping
Mapbox GL JS
PostGIS
GDAL
GeoPandas
AI & Analysis
Azure OpenAI (GPT-4)
Microsoft Copilot
MCP Agents
LangChain

API Integrations

Mapbox API
Vector mapping and styling
Plotly
Interactive charts and graphs
Census API
Demographics and boundaries
Weather.gov
Real-time weather overlays
SendGrid
Email notifications
Slack API
Team notifications
Success Story

Real-World Results

Utility Scale Solar Developer

Challenge

Monitoring 50+ projects across 12 states with real-time permitting status, weather impacts, and construction progress. Manual reporting took 2 analysts 30 hours/week.

Our Solution

Automated n8n workflow pulling data from SharePoint, NOAA, county portals, and Survey123 every 6 hours. MCP agent analyzes data and generates project status summaries. Interactive Mapbox dashboard with color-coded project markers, Plotly charts, and Microsoft Copilot integration for natural language queries.

Results Achieved

30 hrs/week β†’ 2 hrs/week (93% time reduction)
Real-time updates every 6 hours (vs weekly manual reports)
Executive team can query via Copilot: 'Which projects are delayed?'
Automated Slack alerts for permit approvals or weather risks
$156K annual cost savings
Implementation Timeline

Flexible Pricing Options

Choose the plan that fits your needs

Pilot Project
Perfect for testing the solution
$8,000 (2 weeks, single dataset)

Test the solution with a limited scope project to validate ROI before full deployment.

Get Started
Most Popular
Monthly Subscription
Ongoing automation & support
$500/month (hosting + API costs + monitoring)

Full production deployment with hosting, monitoring, and ongoing updates included.

Schedule Demo
Enterprise
Custom solutions at scale
Custom (multi-dashboard, white-label, dedicated support)

White-label solutions, multi-tenant deployments, SLA guarantees, and dedicated support.

Contact Sales

Ready to Transform Your GIS Workflows?

Schedule a free 30-minute consultation to see how Interactive Mapping & Dashboards can deliver measurable ROI for your organization.

Technologies We Work With

Leveraging cutting-edge technologies and industry-leading tools to deliver exceptional geospatial solutions and data analytics services.

QGIS

GIS Software

ESRI ArcGIS

GIS Platform

PostgreSQL

Database

PostGIS

Spatial Database

AWS

Cloud Platform

Google Cloud

Cloud Platform

DuckDB

Analytics Database

OpenAI

AI Platform

Claude AI

AI Assistant

CVAT

Annotation Tool

Python

Programming

React

Frontend

Node.js

Backend

Docker

Containerization

Kubernetes

Orchestration

Azure

Cloud Platform

TensorFlow

Machine Learning

Pandas

Data Analysis

NumPy

Scientific Computing

Jupyter

Data Science

Git

Version Control

Linux

Operating System

Ubuntu

Operating System

Mapbox

Mapping Platform

Leaflet

Web Mapping

Fastapi

API Framework

GeoPandas

Geospatial Analysis

GDAL

Geospatial Library