Combination Score Analysis

Combination Score Analysis MCP Connector for Claude

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Analyze two-wave scoring potential, calculate backup requirements, and predict winning outcomes.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides advanced tools for analyzing two-wave scoring scenarios. It allows AI agents to determine the best possible score outcome using analyze_combination_potential, calculate the necessary scores needed to reach targets via calculate_backup_requirements, verify score survival with validate_score_validity, and forecast final results using predict_winning_outcome. It accounts for heat intensity and specific score discarding rules to provide accurate predictive modeling.

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

calculate_backup_requirements

Calculates the necessary score needed in the second wave to reach a target if the current combination is insufficient

predict_winning_outcome

Provides a high-level prediction of the final result based on the current trajectory of both waves

validate_score_validity

Checks if a specific wave score survives the discarding rules based on the provided context

analyze_combination_potential

Determines the best possible score outcome by combining two waves while accounting for heat and discarding rules

See how to talk to your AI agent using Combination Score Analysis.

What is the best combination for wave one score 50, wave two score 60, and heat intensity 1.5?

The best combination score is 140 with a winning prediction of 140.

How much score do I need in the second wave to reach a total of 100 if the first wave is 40 and heat multiplier is 1.2?

You need a second wave score of 50 to reach the target of 100.

Is a score of 15 valid if the threshold is 20?

No, the score is invalid because it is below the required threshold.

The heat intensity acts as a multiplier or weight that influences how the two wave scores interact during the `analyze_combination_potential` process.

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