MCP For Claude Marketplace
T-Test Statistics Engine

T-Test Statistics Engine MCP Connector for Claude

A+

Run exact Student's, Welch's, and Paired t-tests local. Get CPU-guaranteed p-values instead of LLM-hallucinated guesses.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

LLMs are notoriously bad at math. If you ask an AI to calculate a p-value for a dataset, it will likely hallucinate a plausible-looking but completely wrong number. Data Scientists cannot tolerate this.

This MCP brings deterministic statistical computation to your AI. It delegates the complex math (Student's t-test, Welch's t-test, Paired t-tests) to the robust local jstat engine. The AI simply extracts the data, sends it to this engine, and gets back the mathematically guaranteed t-score, degrees of freedom, and exact p-value.

The Superpowers

  • Zero Hallucination: Exact p-values calculated by a CPU, not a language model.
  • Full T-Test Suite: Supports Independent, Paired, and One-Sample tests.
  • Data Privacy: Your company's experimental data stays local.
  • Automated Interpretation: Automatically tells the AI whether to reject the null hypothesis at alpha=0.05.
statisticsdata-sciencemathematicshypothesis-testingdeterministic-mathp-value

1 tools expose this connector's capabilities to your AI agent.

calculate_t_test

Perform exact deterministic Student's t-tests (independent, paired, one-sample) to calculate statistical significance without LLM hallucinations

See how to talk to your AI agent using T-Test Statistics Engine.

Run an independent t-test to see if the conversion rates for Variant A and Variant B are significantly different.

The t-score is 2.45 and the p-value is 0.018. Since p < 0.05, there is a statistically significant difference between the two variants.

Do a paired t-test on these pre-treatment and post-treatment blood pressure readings.

The paired t-test gives a p-value of 0.002. We reject the null hypothesis — the treatment had a statistically significant effect on blood pressure.

Perform a one-sample t-test to check if this batch's mean weight differs from the target of 500g.

The calculated p-value is 0.34. We fail to reject the null hypothesis — the batch weight is not significantly different from the 500g target.

Because Large Language Models generate text based on probability, not logic. They frequently hallucinate complex floating-point math. This engine forces the AI to use a real local calculator, producing exact results every single time.

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