MCP For Claude Marketplace
Loot Drop Probability Engine

Loot Drop Probability Engine MCP Connector for Claude

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Analyze loot table probabilities, pity mechanics, and economic value distributions.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides deterministic statistical analysis for game loot systems. It allows AI agents to calculate precise drop rates, evaluate the impact of pity mechanics, and determine the economic value of loot rolls. Use analyze_loot_probabilities to find the likelihood of specific item drops, calculate_economic_metrics to determine average value per attempt, and summarize_rarity_distribution to view item frequency across rarity tiers.

lootprobabilitygaming-mathpity-mechanicsstatistics

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

analyze_loot_probabilities

Calculates the core statistical likelihoods for a specific target item within a loot table, accounting for both standard rates and pity mechanics

summarize_rarity_distribution

Provides a high-level view of how items are distributed across different rarity tiers

calculate_economic_metrics

Evaluates the financial/value impact of a single loot roll

See how to talk to your AI agent using Loot Drop Probability Engine.

What is the probability of getting a 'Dragon Sword' if the drop rate is 2% and pity is at 50 attempts?

The probability of obtaining the Dragon Sword within 50 attempts, including the pity mechanic, is 63.58%.

Calculate the average value of this loot table: [{itemName: 'Gold', dropRatePercent: 50, itemValue: 10}, {itemName: 'Silver', dropRatePercent: 50, itemValue: 5}]

The average value per attempt for this loot table is 7.5.

Show me the rarity distribution for my loot table.

The distribution is: Common: 10, Uncommon: 5, Rare: 2, Epic: 1, Legendary: 1.

You can use the `analyze_loot_probabilities` tool. Provide the loot table, the target item name, and the pity threshold to get detailed probability breakdowns.

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