Use Gacha Pity Simulator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Analyze gacha mechanics including base rates, soft pity ramps, and hard pity guarantees to predict player costs.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
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
Calculate pity metrics
Calculate expected pulls with and without pity systems
- 02
Generate probability curve
Generate a cumulative probability curve for gacha pulls
- 03
Estimate budgetary impact
Estimate the financial cost of gacha pulls
Observed, not estimated
663ms average. Fast in production.
Gacha Pity Simulator is checked daily against the live service.
- Fastest day
- 535ms
- Slowest day
- 852ms
- 14-day trend
- Slowing+15%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Gacha Pity Simulator, so you can see the experience inside your AI.
It does not authenticate your account with Gacha Pity Simulator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Gacha Pity Simulator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Gacha Pity Simulator capabilities are ready to use.
{
"mcpServers": {
"gacha-pity-simulator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_5MH1mWL8W41N9Uaaq8SARfODsvvtDi8AEdv0SOWm/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Gacha Pity Simulator owners ask.
- 01
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.
- 02
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%.
- 03
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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