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Drayage Port Scheduler MCP
x402
Drayage Port Scheduler MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-20).
Schedules and optimizes drayage and port logistics operations, coordinating container pickup, delivery, and port appointment timing.
Price / call$0.2
Success—
StatusUnknown
How this service works
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Output
Returns a structured drayage schedule including optimized port appointment timing, routing details, dispatch recommendations, and coordination data for container pickup and delivery operations.
Example use cases
Import container port scheduling
“I have a container arriving at the Port of Long Beach next Tuesday and I need to schedule a drayage pickup with the best available port appointment window — can you coordinate the timing so the truck gets in and out efficiently?”
Multi-stop drayage route planning
“I need to plan drayage for three containers coming through the Port of Houston this week — can you optimize the scheduling so one driver can handle all three pickups while staying within port appointment windows?”
Urgent same-day port drayage dispatch
“My container just cleared customs at the Port of Savannah and I need to schedule an emergency drayage dispatch today — can you find the earliest available appointment and route it to my distribution center in Atlanta?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/drayage-port-scheduler-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to automate or optimize drayage scheduling tied to specific port appointments, gate hours, and container logistics. It is ideal for freight agents, logistics platforms, and supply chain automation workflows that need to coordinate truck dispatch with port terminal operations rather than performing simple address-to-address routing.
Side effects
- Invalid or incomplete container/port data in the data field causes processing failure
- Port appointment windows unavailable or fully booked for the requested timeframe
- Unrecognized port terminal or location identifiers
- Malformed JSON in the data string input
- Scheduling conflict with existing appointments returns error or fallback options
- Service timeout for complex multi-container optimization requests
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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