Arvind-55555/Geo-Intelligence-MCP-Server
3.1
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Geo-Intelligence MCP Server is a comprehensive Model Context Protocol server that integrates multiple GIS and satellite APIs for environmental analytics, land-use classification, and geospatial intelligence.
🌍 Geo-Intelligence MCP Server
A comprehensive Model Context Protocol (MCP) server that integrates multiple GIS and satellite APIs for environmental analytics, land-use classification, and geospatial intelligence.
🚀 Features
Multi-API Integration
- OpenStreetMap (OSM) - Real-time vector data, no authentication required
- Sentinel Hub - Satellite imagery and NDVI analysis
- Copernicus Climate Data Store - Climate indicators and water body analysis
Core Capabilities
🗺️ Land Use Classification
- Extract land use types from OpenStreetMap data
- Calculate distribution percentages
- Identify dominant land use patterns
- Real-time querying via Overpass API
🌳 Environmental Change Detection
- Deforestation monitoring - Track forest loss with confidence scores
- Water body analysis - Monitor water extent changes
- Urban expansion - Detect new development areas
- Time-series analysis with customizable lookback periods
🌱 Vegetation Health Monitoring
- NDVI (Normalized Difference Vegetation Index) time-series
- Climate context integration
- Risk factor identification
- Management recommendations
📦 Geospatial Layer Download
- Download OSM features (buildings, roads, landuse, water, natural features)
- GeoJSON format output
- Topology validation
- WGS84 coordinate system
🤖 Geo-RAG Context Generation
- Comprehensive spatial intelligence aggregation
- Natural language summaries optimized for RAG systems
- Multi-dimensional environmental analysis
- Perfect for AI agents and LLM integration
📋 Requirements
- Python