{"message":"Earth Engine MCP Server with Shapefile Support","totalTools":6,"tools":[{"name":"earth_engine_data","description":"Consolidated Earth Engine data access tool. Operations: search (find datasets), filter (filter collections), geometry (get boundaries), info (dataset details), boundaries (list available)"},{"name":"earth_engine_system","description":"Consolidated Earth Engine system & advanced tool. Operations: auth (check authentication), execute (run custom code), setup (configure GCS/auth), load (external data), info (system info)"},{"name":"earth_engine_process","description":"Processing & Analysis - clip, mask, index, analyze, composite, terrain, resample, FCC operations"},{"name":"earth_engine_export","description":"Export & Visualization - export, thumbnail, tiles, status, download operations"},{"name":"earth_engine_map","description":"Interactive Map Viewer - create, list, delete interactive web maps"},{"name":"crop_classification","description":"Machine learning crop and land cover classification using satellite imagery. \n    SUPPORTED REGIONS: Iowa, California, Texas, Kansas, Nebraska, Illinois (or custom coordinates).\n    FEATURES: Automatic cloud masking, vegetation indices (NDVI, EVI, SAVI, NDWI), multiple classifiers (Random Forest, SVM, CART, Naive Bayes).\n    OUTPUTS: Classification map, accuracy metrics, optional interactive web map.\n    PERFORMANCE: For faster processing, set createMap=false. Large regions may timeout with map creation enabled.\n    DEFAULT CLASSES by state: Iowa (corn, soybean, wheat, urban, water), California (almonds, grapes, citrus, rice, forest, urban, desert, water), Texas (cotton, wheat, corn, sorghum, grassland, urban)."}]}