AI-powered route optimization MCP server for heavy vehicles and logistics. Calculate truck-optimized routes, predict traffic congestion with LSTM neural networks, compute toll costs, fuel costs and CO2 emissions, find truck stops and check weather along any European route.
A smart commute assistant that monitors travel routes via the Amap API and sends automated notifications to DingTalk. It enables users to schedule daily route checks and receive real-time traffic updates using a modular MCP-based architecture.
Provides destination-based public parking lot recommendations in Seoul. It converts destinations to coordinates, finds nearby public parking lots, and estimates wait times using real-time availability and historical statistics.
Provides real-time and predicted congestion data, route optimization, and train arrival information for Seoul subway lines 1-8, helping users choose the best travel times.