Logistics AI

By MEOK AI Labs — Supply chain and shipping tools

Installation

pip install logistics-ai-mcp

Usage

# Run standalone
python server.py

# Or via MCP
mcp install logistics-ai-mcp

Tools

track_shipment

Track a shipment and get current status with location updates.

Parameters:

• tracking_id (str): Shipment tracking ID/number
• carrier (str): Carrier name or 'auto' for auto-detection

optimize_route

Optimize shipping route between two locations with cost and time estimates.

Parameters:

• origin (str): Origin city/port name
• destination (str): Destination city/port name
• weight_kg (float): Total shipment weight in kg (default: 10.0)
• transport_modes (list[str]): Modes to consider: air, sea, road, rail
• priority (str): Optimization priority: cost, speed, balanced

warehouse_inventory

Manage warehouse inventory with stock levels, reorder alerts, and valuation.

Parameters:

• items (list[dict]): Items with sku, name, quantity, unit_cost, reorder_point, max_stock
• operation (str): Operation: status, reorder_check, valuation

estimate_delivery

Estimate delivery date and time windows for a shipment.

Parameters:

• origin (str): Origin city
• destination (str): Destination city
• transport_mode (str): air, sea, road, rail (default: road)
• ship_date (str): Ship date YYYY-MM-DD
• priority (str): express, standard, economy

customs_documentation

Generate customs documentation requirements and duty estimates.

Parameters:

• origin_country (str): Origin country code
• destination_country (str): Destination country code
• goods_description (str): Description of goods
• declared_value (float): Declared customs value
• currency (str): Currency (default: USD)
• weight_kg (float): Total weight
• hs_code (str): Harmonized System code

Authentication

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License

MIT — MEOK AI Labs