Damage Formula Calculator MCP for AI. Stress-test your game's math before a single line of code hits the server.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
Damage Formula Calculator evaluates and compares various combat scaling models for game design. Need to know if a new weapon feels powerful or just broken? This MCP runs simulations across linear, multiplicative, and advanced RPG formulas.
Calculate sustained DPS rates, predict damage variance ranges, and compare multiple systems—all in one place. Stop guessing at balance; start calculating.
What your AI can do
Calculate base damage
Computes the raw damage value before any random variance or speed multipliers are applied.
Calculate sustained dps
Converts individual hit damage into a continuous rate to measure unit efficiency over time.
Compare formula efficiency
Evaluates multiple damage models at once, helping designers select the scaling behavior that fits their game's needs.
Finds the fundamental damage value an attack deals before considering random variance or multipliers.
Converts a single hit's damage into a steady, continuous rate to evaluate overall weapon efficiency.
Evaluates several different mathematical scaling models simultaneously to help you choose the best fit for your game’s mechanics.
Determines the lowest possible damage and the highest possible damage, showing the full spectrum of combat outcomes.
Ask an AI about this
Waiting for input…
Damage Formula Calculator: 4 Tools Available
These tools let your agent run precise math simulations on everything from core stats to complex combat models.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Damage Formula Calculator on VinkiusCalculate Base Damage
Computes the raw damage value before any random variance or speed multipliers are applied.
Calculate Sustained Dps
Converts individual hit damage into a continuous rate to measure unit efficiency...
Compare Formula Efficiency
Evaluates multiple damage models at once, helping designers select the scaling...
Simulate Damage Variance
Calculates the lower and upper bounds of potential damage to show possible combat...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Damage Formula Calculator integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Damage Formula Calculator, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Damage Formula Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 4 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The Headache of Spreadsheets
Right now, balancing a single combat system means jumping between tabs and sheets. You input your stats into one column, then copy the result to another formula that accounts for defense scaling; then you have to recalculate everything just because you tweaked one number in the master sheet. It's slow, it’s messy, and frankly, it’s a nightmare to audit.
With this MCP, your agent takes those stats and handles all the math instantly. You describe the system, and we give you back calculated data—not formulas filled with references. It just gives you the answer.
Using the Damage Formula Calculator
You don't have to run four different calculations manually anymore. Instead of tracking base damage, then running it through a DPS calculator, and finally checking variance in three separate spots, you ask your agent to do it all at once.
It boils down to this: You get comprehensive combat data—the minimum possible damage, the maximum potential damage, and the reliable average rate—all generated from one prompt. That's how fast it is.
What your AI can actually do with this
Game designers shouldn't have to rely on endless spreadsheets and guesswork to keep their combat math honest. This MCP simulates how different stats interact when characters fight. You can input a set of rules—say, 'Damage = ATK * (1 - DEF/10)'—and immediately see the mathematical fallout. It determines raw damage before random chance hits, calculates your sustained DPS rate over time, and lets you compare totally different formulas side by side.
When building out a new combat system or tweaking an existing stat, this MCP tells you exactly how changes will affect gameplay balance. You connect to it via Vinkius and let your agent handle the heavy lifting of the math.
019ecb73-485d-730c-8c1c-344730a41969 
Here's how it actually works
The bottom line is you get immediate mathematical proof about how your combat mechanics will actually play out.
You feed the MCP specific parameters, like base attack stats or resource costs.
The engine runs these numbers through its internal simulation models to calculate multiple metrics (e.g., min DPS, max damage).
Your agent receives a clear breakdown: what the average damage is, and what the potential range of failure or success looks like.
Who is this actually for?
Game designers, RPG systems architects, and balancing engineers. If you spend too much time in Excel trying to make sure the DPS math holds up across every build permutation, this is for you.
Uses it to test if a new core mechanic (like 'burst damage' vs. 'sustained output') maintains balance across different class setups.
Runs the simulator multiple times, adjusting variables until the calculated performance range meets the design specs for enemy difficulty.
Compares efficiency between two competing systems (e.g., resource-based damage vs. stat-scaling damage) to guide core gameplay decisions.
What Changes When You Connect
Stop relying on averages. Use simulate_damage_variance to model worst-case scenarios, so you know exactly how much damage players might take even when everything goes wrong.
Pinpoint true efficiency. Instead of just knowing a hit's power, use calculate_sustained_dps to see what that weapon actually does every second in combat.
Make informed choices about scaling. When deciding between multiplicative vs. linear damage models, let compare_formula_efficiency show you which one keeps your game balanced long-term.
Isolate the core numbers. Use calculate_base_damage to strip away random multipliers and see the fundamental power level of an attack before any modifiers are applied.
Speed up iteration cycles. By automating complex mathematical simulations, you cut hours spent in spreadsheets down to seconds.
See it in action
Testing a New Class Build
A designer needs to see if their new 'Artillerist' class performs well. They ask the agent to use calculate_sustained_dps and compare it against the existing standard DPS calculation for other classes, ensuring the build feels powerful but not game-breaking.
Balancing Legendary Weapons
A team needs to ensure a new legendary weapon isn't too volatile. They use simulate_damage_variance with the weapon's stats, giving them a clear range of damage so they can adjust its reliability or cap the maximum output.
Choosing Core Combat Math
A project lead is stuck between two core systems. They use compare_formula_efficiency to compare Formula A (linear scaling) against Formula B (multiplicative), finally selecting the mathematical framework that best supports the game's overall pacing.
Validating Initial Stats
A junior designer needs a quick check on initial character stats. They ask to calculate_base_damage for an attack using specific ATK/DEF values, verifying that the foundational damage number is correct before moving to advanced multipliers.
The honest tradeoffs
Assuming average performance
Just calculating a simple mean DPS and assuming that's what happens in combat. This ignores random chance entirely.
To account for risk, always run simulate_damage_variance. That gives you the full range, so you know your worst-case scenario—that’s critical design data.
Mixing formulas manually
Trying to calculate how a linear damage formula interacts with a multiplicative defense scaling in an Excel sheet. It's tedious and prone to human error.
Use compare_formula_efficiency. This MCP handles the complex interaction of different math types, giving you one clean comparison matrix.
Focusing only on single hits
Optimizing for a massive single-hit burst without considering how often or long that damage can be maintained over multiple turns.
You must use calculate_sustained_dps. It translates the raw hit into a continuous rate, giving you a true measure of unit performance.
When It Fits, When It Doesn't
Use this MCP if your core mechanic relies on quantifying predictable numerical outcomes. This is ideal for systems with primarily linear or multiplicative scaling (e.g., ATK * Multiplier). Don't use it if the game features mechanics that are difficult to assign a single number—think status effects like 'poisoning over time,' complex positional advantages, or purely narrative choices. For those scenarios, you’ll need specialized tools that model discrete state changes rather than continuous math. If you just need basic damage checks, start with calculate_base_damage; if you need the full picture, run all four tools in sequence.
Questions you might have
How does calculate_base_damage help with DPS? +
It gives you the clean starting point. You first use calculate_base_damage to get the raw damage number, then that precise figure feeds into calculate_sustained_dps for an accurate rate.
Can I compare different combat styles using compare_formula_efficiency? +
Yep. You input two or more mathematical rules—like 'burst damage' vs. 'tanking resistance'—and the MCP compares their efficiency side-by-side.
What does simulate_damage_variance show me? +
It shows the range of outcomes. Instead of a single average number, you get two values: the lowest possible damage and the highest possible damage. That's your risk assessment.
Does calculate_sustained_dps account for critical hits? +
Yes, it calculates continuous rate over time. You can feed it both the average DPS and a high-variance number to see how bursts affect sustained damage.
What specific data points does using `calculate_base_damage` require? +
It requires core numerical stats like Attack (ATK) and Defense (DEF). You must provide the formula parameters directly; it won't read from external game files or databases.
Can I use `compare_formula_efficiency` to test dozens of formulas at once? +
Yes. Pass the different scaling model parameters within a single request payload. This lets you evaluate many options efficiently without running multiple, slow sequential calls.
If I run `simulate_damage_variance` with an invalid variance multiplier, what happens? +
The MCP will return a detailed error message explaining the mathematical impossibility of your input. It forces you to correct the parameters before calculating any damage bounds.
Is the DPS calculated by `calculate_sustained_dps` limited to core stats, ignoring status effects? +
It calculates continuous DPS based strictly on the individual hit values you pass in. You must manually factor in any debuffs or buffs before sending those adjusted numbers to the tool.
How can I calculate the raw damage for a specific attack? +
Use the calculate_base_damage tool by providing the attacker's strength, defender's defense, and the chosen formula type.
Can I see the potential range of damage due to RNG? +
Yes. By using simulate_damage_variance with a previously calculated base damage, you can find the minimum and maximum possible outcomes within the 15% variance range.
How do I compare different scaling models? +
The compare_formula_efficiency tool allows you to pass a list of formulas (linear, multiplicative, or advanced) to see their results side-by-side.
We've already built the connector for Damage Formula Calculator. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting.
You're up and running in seconds.
Gemini Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.