Travel Weight Optimizer

Travel Weight Optimizer MCP Connector for Claude

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Optimize your luggage packing using a greedy algorithm to maximize item utility within weight limits.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides advanced tools for travelers to solve the knapsack problem for luggage. Using calculate_packing_strategy, you can determine which items to pack based on their priority and weight. You can also use evaluate_capacity_utilization to see how well you used your limit and summarint_priority_distribution to understand your item importance levels.

travelpackingknapsackoptimizationluggageutility

3 tools expose this connector's capabilities to your AI agent.

calculate_packing_strategy

Determines the optimal list of items to pack and which ones must be left behind

evaluate_capacity_utilization

Measures how effectively the available weight capacity was utilized

summarize_priority_distribution

Provides a high-level overview of the importance levels present in the inventory

See how to talk to your AI agent using Travel Weight Optimizer.

I have a 15kg limit. My items are: Passport (0.5kg, priority 10), Laptop (2.5kg, priority 9), Heavy Coat (5kg, priority 6), Power Bank (1kg, priority 4), and Boots (7kg, priority 3). What is my packing strategy?

You should pack the Passport, Laptop, Heavy Coat, and Power Bank for a total weight of 9kg. The Boots will be left behind.

Using `evaluate_capacity_utilization`, what is the utilization if I have a 25kg limit and used 18.5kg?

The utilization is 74% with 6.5kg of remaining capacity.

Summarize the priority distribution for these items: Camera (9), Water Bottle (5), Sunglasses (2).

You have 1 high priority item, 1 medium priority item, and 1 low priority item.

It uses a greedy approach, sorting items by priority score and adding them if they fit within the weight limit.

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