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Chi-Square Test Engine

Chi-Square Test Engine MCP Server with 1 Tools for Claude, Cursor, and AI Agents

MCP Inspector GDPR Free for Subscribers

Run exact Chi-Square independence tests on contingency tables local. Get CPU-guaranteed chi² statistics and p-values for categorical analysis. Vinkius routes your AI agents directly to Chi-Square Test Engine through a governed connection. 1 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.

Built for AI Agents by Vinkius

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
AI AgentVinkius
High Security·Kill Switch·Plug and Play
Chi-Square Test Engine
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the jstat MCP Server?

The jstat MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to jstat via 1 tools. Run exact Chi-Square independence tests on contingency tables local. Get CPU-guaranteed chi² statistics and p-values for categorical analysis. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.

Built-in capabilities (1)

calculate_chi_square

Tools for your AI Agents to operate jstat

Ask your AI agent "Is there a statistically significant relationship between user gender and subscription tier?" and get the answer without opening a single dashboard. With 1 tools connected to real jstat data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.

Build your own MCP Server with our secure development framework →

The Chi-Square Test Engine App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 1 Chi-Square Test Engine tools with your AI agents right now

Vinkius routes your AI agents to Chi-Square Test Engine through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.

Explore Tools Hub
calculate

Calculate chi square on Chi-Square Test Engine

Perform exact deterministic Chi-Square tests of independence on categorical contingency tables without LLM math hallucinations

What the Chi-Square Test Engine MCP Server unlocks

The Chi-Square test determines whether two categorical variables are independent. Asking an LLM to compute expected frequencies across a matrix and then sum the chi² residuals is a recipe for hallucinated results.

This MCP computes the full test deterministically using jstat. The AI sends the observed frequency matrix, and the engine calculates exact expected frequencies, the chi² statistic, degrees of freedom, and the p-value — all locally on your CPU.

The Superpowers

  • Zero Hallucination: Exact chi² statistics computed deterministically.
  • Automatic Expected Frequencies: The engine builds the entire expected matrix internally.
  • Any Matrix Size: Supports 2x2, 3x3, or larger contingency tables.
  • Data Privacy: Your survey and business data stays local.

Frequently asked questions about the Chi-Square Test Engine MCP Server

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.

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.

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.

Vinkius AI Gateway

We built the connector to Chi-Square Test Engine. Now put your agents to work. Fully governed.

Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.

How it works
Infrastructure

Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.

Visibility

Every tool call, every token, every response. Logged and auditable. Data flows direct from Chi-Square Test Engine to your agent. Nothing is stored on our side. Ever.

Control

Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.