# Combat Balance Checker MCP for AI Agents AI Agent Connect > Combat Balance Checker helps game designers run massive simulations to see if their combat math actually works. It handles 1,000 randomized iterations per request, giving you hard data on win rates, average damage, and turn counts. Instead of guessing if a character is too strong, you get a statistical breakdown of how they perform against every other profile in your game. ## Overview - **Category:** gaming - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_VgoE5ZdehKzZSaAAr9LpBxfZJVlT94y5P6Qo1Zwr/ai-agent-connect - **Tags:** combat-sim, game-design, statistics, battle-engine, balance-testing ## Description Designing turn-based combat is a math nightmare. You spend weeks tweaking speed, attack power, and health pools, only to find out that one small change makes a specific character completely broken. This Connector takes the guesswork out of the equation by providing a rigorous way to test your mechanics. It lets you run thousands of simulated battles in seconds to see how different character profiles interact under pressure. You can see exactly how much a single stat point matters or if a specific build is just going to steamroll everything else. It's about getting to the "why" behind the numbers instead of just reacting to bugs. If you're tired of manual playtesting and want to see the actual probability of a win, this is the engine you need. It fits right into your workflow on Vinkius, letting you move from a vague idea to a data-backed balance sheet without leaving your workspace. You get a clear picture of your game's health, moving away from "vibes" and toward hard data. You can identify hidden power creep, calculate average damage per turn, and ensure that your progression feels fair to the player. It turns your design intuition into verifiable evidence. ## Tools ### analyze_influence Identifies which specific attribute, like speed or attack, is most responsible for a victory. It helps you find the hidden causes of power creep. ### simulate_combat Runs 1,000 randomized battles between two character profiles. This provides you with hard data on win rates and average turn counts. ### audit_balance Checks a specific matchup against professional stability standards. It flags any fight that is statistically skewed or broken for your players. ## Prompt Examples **Prompt:** ``` Compare a high-speed assassin against a heavy-armored knight. ``` **Response:** ``` I've run the simulations for you. Here is how the high-speed assassin stacks up against the heavy-armored knight: | Metric | Assassin | Knight | | :--- | :--- | :--- | | **Win Rate** | 62% | 38% | | **Avg. Damage** | 45 | 22 | | **Avg. Turns** | 4.2 | 6.8 | **Key Takeaway:** The assassin's speed allows it to bypass the knight's defense consistently, leading to a significant win margin. You might want to increase the knight's defense or lower the assassin's speed. ``` **Prompt:** ``` Is the current speed stat too dominant in my game? ``` **Response:** ``` Based on the influence analysis of your current combat data, speed is indeed a primary driver of victory. * **Speed Influence:** 68% * **Attack Influence:** 22% * **Defense Influence:** 10% Because speed accounts for nearly 70% of the victory margin, characters with even a slight speed advantage are consistently winning. You may want to consider a diminishing returns mechanic for the speed stat to balance the meta. ``` **Prompt:** ``` Check if my new boss is too hard for a level 10 player. ``` **Response:** ``` I've audited the matchup between the Level 10 player and the new boss. **Audit Result:** ⚠️ **Broken / Skewed** * **Boss Win Rate:** 94.5% * **Player Win Rate:** 5.5% * **Status:** The boss is currently overpowered for this level. The data suggests that the boss's health pool is too high for the average player's damage output at this stage. I recommend reducing the boss's health by approximately 30% to bring the win rate closer to a 50/50 split. ``` ## Capabilities ### Run 1,000 combat simulations Get a statistical overview of how two profiles interact in battle. ### Identify which stats drive victory See if a character wins because of skill or just inflated numbers. ### Audit matchups for balance Flag skewed or broken fights against professional stability standards. ### Compare character profiles See how different builds stack up against each other in a head-to-head. ### Get average turn and damage metrics Track how long fights last and how much damage is dealt on average. ## Use Cases ### Comparing a Glass Cannon against a Tank A designer wants to see if high damage can actually beat high defense in a head-to-head matchup using `simulate_combat`. ### Finding the Speed Meta A developer wants to know if speed is currently the only stat that matters for winning by using `analyze_influence`. ### Pre-launch balance auditing A studio needs to check 50 different matchups to ensure no one character is broken before the game goes live. ### Tuning loot rewards A designer wants to see how a new weapon's attack bonus affects the average win rate against standard enemies. ## Benefits - Stop guessing about balance. Use `simulate_combat` to see exactly how characters perform against each other with hard data. - Identify "broken" stats quickly. `analyze_influence` tells you if a character wins because of skill or just inflated numbers. - Meet pro standards. `audit_balance` flags matchups that are statistically skewed before they hit your players. - Save weeks of manual testing. Run 1,000 iterations in seconds instead of playing through hundreds of rounds yourself. - Get precise turn data. See exactly how many turns a fight lasts on average to keep your pacing tight. ## How It Works The bottom line is you get statistically significant data on combat balance instead of just vibes. 1. Provide two character profiles with stats like SPD, ATK, and DEF. 2. The engine runs 1,000 randomized iterations of their combat. 3. You get a report on win rates, damage metrics, and turn durations. ## Frequently Asked Questions **How can the Combat Balance Checker help my game design?** It provides hard data on how different character profiles interact. Instead of guessing if a change works, you can run thousands of simulations to see the actual win rates and damage metrics. **Can I use it for real-time combat systems?** This tool is specifically designed for turn-based combat or stat-based RPG systems where you can define profiles with attributes like speed, attack, and defense. **What does statistically significant mean for my game balance?** It means your results aren't just based on a few lucky rounds. By running 1,000 iterations per request, the tool ensures that the win rates and data you see represent the actual behavior of the game mechanics. **How do I know if a character is overpowered?** You can use the audit feature to check a specific matchup. It will flag any fight that is statistically skewed or broken based on professional stability standards. **Does it work for any RPG system?** It works for any system where you can define character profiles. As long as you can input stats like speed and attack, the engine can simulate the outcomes. **Can I see how many turns a fight lasts?** Yes, the tool provides average turn counts for every simulation. This helps you ensure your combat pacing feels right and doesn't drag on too long. **How accurate are the simulation results?** Every request executes 1,000 independent combat iterations using randomized rolls for critical hits to ensure statistical significance and account for RNG volatility. **What attributes can I compare?** You can compare any profiles containing HP, ATK, DEF, SPD, critRate, and critMult. Use `simulate_combat` to see how these stats interact. **How do I know if a matchup is broken?** Use the `audit_balance` tool. It classifies matchups as Stable, Skewed, or Broken based on whether the win rate stays within acceptable professional bounds.