Gacha Pity Simulator Connector for AI agents.
3 live capabilities
Predict player spending and gacha probability curves for game design.
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Why people use Gacha Pity Simulator
Gacha Pity Simulator for Game Balance and Drop Rate Analysis
This Connector changes that. You can just tell your agent the rules of your gacha system and get an immediate breakdown of the math. You'll see the expected averages and the probability spikes instantly, letting you balance your game in minutes instead of hours.
What Vinkius changes
You get a data-driven look at gacha math without doing the manual calculations.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Balancing a new banner
A designer wants to see if a 0.
- Real-world use case 02
Planning a pull strategy
A player wants to know how many gems they need to save to be 95% sure of getting a specific unit.
- Real-world use case 03
Economy modeling
An analyst needs to predict the average revenue from a whale who targets the top 1% of items.
Complete set · 3capabilities
The complete Gacha Pity Simulator capability set.
These are the exact actions your AI can choose when you ask it to work with Gacha Pity Simulator.
01—03
3 capabilities in this set.
Part of 3 available through Gacha Pity Simulator.
- 01 Capability
Estimate budgetary impact
Turn pull counts into a real-world currency estimate to see the actual cost of an item. This helps you understand the financial weight of a specific drop.
- 02 Capability
Calculate pity metrics
Compare the number of pulls needed with and without pity systems active. This gives you a clear picture of how much pity actually matters.
- 03 Capability
Generate probability curve
Create a visual representation of how your chances improve as you pull more. It helps you spot the exact moment the odds start to spike.
Set up in minutes
One URL. Then ask Gacha Pity Simulator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Gacha Pity Simulator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Gacha Pity Simulator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Gacha Pity Simulator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Gacha Pity Simulator URL.
- Step 03
Save and start
Save the connection and enable Gacha Pity Simulator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"gacha-pity-simulator": {
"url": "https://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Gacha Pity Simulator
Open Agent mode in chat and ask: "Using Gacha Pity Simulator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"gacha-pity-simulator": {
"url": "https://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Gacha Pity Simulator
Ask Copilot: "Using Gacha Pity Simulator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"gacha-pity-simulator": {
"url": "https://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Gacha Pity Simulator
Open Cascade and ask: "Using Gacha Pity Simulator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"gacha-pity-simulator": {
"url": "https://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Gacha Pity Simulator
Ask Cline: "Using Gacha Pity Simulator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add gacha-pity-simulator --transport http "https://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Gacha Pity Simulator
Ask Claude: "Using Gacha Pity Simulator, show me...". 3 tools are ready
Where the request belongs
Work Gacha Pity Simulator can move forward.
This is for game designers balancing live-service economies, data analysts modeling player spending, and hardcore players planning their pull strategies.
Game Designer
Use this on a Tuesday to see if a new 0.8% drop rate is too generous for a specific banner.
Data Analyst
Model player behavior to predict how much a whale might spend to reach a 95% success rate.
Game Economy Researcher
Analyze how different pity ramps affect the total currency sink of a game over a six month period.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Prestige System Calculator
Analyze the economic efficiency and temporal impact of prestige/rebirth mechanics.
XP Curve Generator
Simulate and analyze game progression curves, XP requirements, and player time investment.
Bring your own AI
Change the model, client or framework. Keep Gacha Pity Simulator connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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Jan -
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Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
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n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Gacha Pity Simulator.
The practical details behind the request, access and result.
Can Gacha Pity Simulator help me balance my game's drop rates?
Yes. It lets you see how different pity thresholds and base rates affect the average number of pulls, helping you find the right balance for your game's economy.
How does Gacha Pity Simulator calculate the cost of a rare item?
It takes your specific pull count data and the cost per pull to give you a total currency estimate. This helps you see the real financial weight of a drop.
Can I use Gacha Pity Simulator to see where the soft pity kicks in?
Yes. It generates a probability curve that shows exactly where the odds start to ramp up, making it easy to visualize your pity mechanics.
Is Gacha Pity Simulator good for predicting whale spending?
It's great for modeling high-end spending by showing the cost to reach high confidence levels, which helps in predicting revenue from heavy spenders.
Does Gacha Pity Simulator handle different types of pity systems?
Yes. It can model various ramps, including fixed increments and different starting thresholds, so you can test multiple balancing ideas quickly.
What is the difference between expected pulls with and without pity?
Without pity, the expected number of pulls is simply the inverse of the base rate. With pity, the calculate_pint_metrics capability accounts for the increased probability during the soft pity period and the 100% guarantee at hard pity, typically resulting in a much lower average pull count.
How can I estimate how much currency I need for a specific item?
You can use the estimate_budgetary_impact capability. By providing your currency cost per pull and a probability curve generated by generate_probability_curve, you can see the average cost and the cost required to reach specific confidence levels like 90% or 99%.
Does this simulator support soft pity mechanics?
Yes, the simulator is specifically designed to model soft pity. You can define a threshold where the rate begins to increase and specify the increment amount per pull.
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Give your agent a direct line to Gacha Pity Simulator.
Connect Gacha Pity Simulator once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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