a model context protocol interface for cargo tracking — real-time shipment visibility, container status, route optimization and ETA predictions powered by AI agents.
Logistics teams juggle 5–10 carrier portals, copy tracking numbers between spreadsheets, and rely on email updates that arrive hours late. ETAs are guesses. Route disruptions go unnoticed until it's too late.
The data exists — container GPS, port schedules, weather, vessel positions — but it's scattered across incompatible systems with no unified interface.
MCP UI uses the Model Context Protocol to connect your cargo data sources into a single, real-time tracking interface. AI agents monitor every shipment, predict delays before they happen, and suggest route optimizations automatically.
Live Map View
See all shipments on a real-time world map with status overlays
Smart Alerts
AI detects delays, weather disruptions, and port congestion early
ETA Predictions
Machine learning models predict arrival times with 95%+ accuracy
Multi-Carrier
Connect Maersk, MSC, CMA, Hapag-Lloyd and 50+ carriers in one view
Container Status
Real-time container conditions — temperature, humidity, seal status
Route Optimization
AI suggests alternative routes when disruptions are detected
MCP is an open standard for connecting AI models to external data sources and tools. Our implementation uses MCP servers to bridge carrier APIs, port databases, and vessel tracking systems into a unified context that AI agents can reason over.
MCP Servers
Custom MCP servers for each carrier API
AI Agents
Gemini + Claude for reasoning over shipment context
PostgreSQL
Time-series tracking data with PostGIS
Real-time
WebSocket updates — no polling, no refresh
We're building MCP UI for logistics teams who need real-time visibility. Book a call to shape the product and get early access.
Coming soon · Shape the product with us · Priority access for early signups