Use jstat with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Run exact Chi-Square independence tests on contingency tables local. Get CPU-guaranteed chi² statistics and p-values for categorical analysis.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete jstat capability set.
These are the exact actions your AI can choose when you ask it to work with jstat.
01
1 capability in this set.
Part of 1 available through jstat.
- 01
Calculate chi square
Perform exact deterministic Chi-Square tests of independence on categorical contingency tables without LLM math hallucinations
Observed, not estimated
873ms average. Fast in production.
jstat is checked daily against the live service.
- Fastest day
- 662ms
- Slowest day
- 1147ms
- 14-day trend
- Slowing+35%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 jstat, so you can see the experience inside your AI.
It does not authenticate your account with jstat. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
jstat Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_3a81o44g9lK8eLsDLspiymfXnhfQOUzKsOVzwpSJ/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 — jstat capabilities are ready to use.
{
"mcpServers": {
"chi-square-test-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_3a81o44g9lK8eLsDLspiymfXnhfQOUzKsOVzwpSJ/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 jstat owners ask.
- 01
What is a contingency table?
It's a matrix showing the frequency distribution of two categorical variables (e.g., rows = Gender, columns = Subscription Tier). The AI will automatically convert your raw data into this format.
- 02
Does it handle expected frequencies below 5?
The engine computes the result regardless, but the AI is instructed to warn you when expected frequencies are low, as the chi² approximation becomes less reliable in those cases.
- 03
Can it test more than two variables at once?
This engine performs a single pairwise independence test per execution. For multi-variable analysis, the AI can chain multiple calls to test different variable pairs sequentially.
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