Loot Drop Simulator

Loot Drop Simulator MCP Connector for Claude

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A probabilistic engine for simulating and analyzing randomized item distribution patterns in RPG loot systems.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Loot Drop Simulator allows game developers to verify the integrity of their randomized reward systems. By using tools like get_table_configuration, you can inspect the structural definition and weights of any loot table. Use simulate_drop_batch to execute large-scale trials and observe how item weights manifest in practice, including tracking dry streaks. Additionally, calculate_rarity_drift helps identify discrepancies between theoretical probabilities and observed frequencies in specific rarity tiers.

loot-tablesprobabilityrpgrandomizationgame-design

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

get_table_configuration

Retrieve the structural definition and weight values for a specific loot table

calculate_rarity_drift

Identify how much the actual experimental results deviate from the theoretical design

simulate_drop_batch

Execute a large number of randomized trials to observe how item weights manifest in practice

See how to talk to your AI agent using Loot Drop Simulator.

What are the items and total weight in the 'Boss Drop' table?

The 'Boss Drop' table contains 3 items with a total weight of 100. Items: Dragon Scale (50), Magic Orb (30), Rusty Sword (20).

Run a simulation of 1000 drops for the 'Starter Chest' table.

Simulation complete. Distribution: Common (650), Uncommon (250), Rare (100). Max dry streak recorded: 12.

Is there any drift for the 'Legendary' tier in the 'Epic Loot' table?

The theoretical probability is 0.05 (5%) and the observed probability is 0.048 (4.8%), resulting in a drift percentage of -4%.

You can use the `get_table_configuration` tool by providing the name of the loot table you wish to inspect.