MCP For Claude Marketplace
Enemy Difficulty Curve Analyzer

Enemy Difficulty Curve Analyzer MCP Connector for Claude

A+

Analyze enemy scaling and player progression to ensure smooth combat pacing.

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

This MCP server provides deterministic diagnostic tools for game designers to identify friction points in combat progression. Use analyze_combat_ratios to calculate the relationship between enemy threat and player power, detect_progression_anomalies to find difficulty spikes and smoothness scores, and evaluate_player_experience to quantify frustration and boss impact. It helps ensure that difficulty curves remain engaging rather than frustrating or boring.

game-devdifficulty-scalingcombat-pacingprogressionanalytics

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

analyze_combat_ratios

Calculates the fundamental relationship between enemy threat and player power

detect_progression_anomalies

Identifies problematic jumps in difficulty and assesses the overall smoothness of the game flow

evaluate_player_experience

Quantifies the qualitative "feel" of the game, specifically looking for boredom and frustration

See how to talk to your AI agent using Enemy Difficulty Curve Analyzer.

Analyze the combat ratios for these enemies: [{'level': 1, 'hp': 100, 'damage': 10, 'abilities_count': 1, 'special_mechanics': []}, {'level': 2, 'hp': 250, 'damage': 25, 'abilities_count': 2, 'special_mechanics': []}] with a player DPS curve of [10, 20].

{ "difficulty_ratios": [1.0, 1.25], "time_to_kill_per_enemy": [10.0, 10.0] }

Check for progression anomalies in these difficulty ratios: [1.0, 1.2, 2.5, 2.6].

{ "smoothness_score": 65.4, "spike_locations": [2], "is_unstable": true }

Evaluate the player experience with TTK values [15, 70, 20] and boss ratios [4.0].

{ "frustration_index": 1, "progression_pace": [1], "boss_ratios_valid": true }

A difficulty spike is identified when the difficulty ratio increases by more than 50% compared to the previous enemy. You can use `detect_progression_anomalies` to find these specific locations.

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