Normality Test Engine MCP Server with 1 Tools for Claude, Cursor, and AI Agents
GDPR Free for SubscribersTest whether your data is normally distributed using Skewness and Kurtosis analysis local. Essential pre-check before running parametric statistical tests. Vinkius routes your AI agents directly to Normality 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.
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What is the simple-statistics MCP Server?
The simple-statistics MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to simple-statistics via 1 tools. Test whether your data is normally distributed using Skewness and Kurtosis analysis local. Essential pre-check before running parametric statistical tests. 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)
Tools for your AI Agents to operate simple-statistics
Ask your AI agent "Check if this residuals array is normally distributed before I run my regression." and get the answer without opening a single dashboard. With 1 tools connected to real simple-statistics 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 Normality Test Engine App Connector works with every AI agent you already use
…and any MCP-compatible client
Use all 1 Normality Test Engine tools with your AI agents right now
Vinkius routes your AI agents to Normality 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.
Test normality on Normality Test Engine
Perform an exact deterministic Jarque-Bera normality test on numeric data without LLM math hallucinations
What the Normality Test Engine MCP Server unlocks
Before running t-tests, ANOVA, or linear regression, you need to verify that your data is normally distributed. LLMs cannot eyeball a distribution from raw numbers — they will guess and often guess wrong.
This MCP uses simple-statistics to compute exact Skewness and Kurtosis coefficients, then applies a Jarque-Bera test to determine normality. The AI gets a definitive pass/fail verdict with the exact test statistic and p-value.
The Superpowers
- Zero Hallucination: Exact statistical coefficients computed locally.
- Automated Verdict: Returns a clear 'normal' or 'not normal' interpretation.
- Descriptive Statistics: Also provides exact Mean, Std Dev, Skewness, and Kurtosis.
- Data Privacy: Your research data stays entirely on your local machine.
Frequently asked questions about the Normality Test Engine MCP Server
Is this the Shapiro-Wilk test?
This engine implements the Jarque-Bera normality test, which uses Skewness and Kurtosis. It is highly effective for medium-to-large samples and avoids the Shapiro-Wilk implementation gaps in JavaScript.
How many data points do I need?
The Jarque-Bera test works best with 30 or more samples. For very small samples (n < 20), consider using visual QQ-plot analysis as a complement.
What does a 'not normal' result mean for my analysis?
If your data is not normally distributed, parametric tests like t-tests and ANOVA may be unreliable. Consider using non-parametric alternatives like Spearman correlation or Mann-Whitney U tests.
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We built the connector to Normality 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.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Normality Test Engine to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.