Der ReliaStats MCP-Server,
verbunden mit einem Klick.

explain_reliability_basics — Return a textbook-tier explainer of reliability fundamentals: the four reliability functions R(t)/F(t)/f(t)/h(t), MTBF vs MTTF vs MTTR, the

explain_distributions_for_reliability — Return a textbook-tier distribution zoology for reliability work: why Weibull is the default, the shape-parameter β table mapping β-ranges t

explain_advanced_reliability_patterns — Return a textbook-tier explainer of advanced reliability patterns: censored data (right/left/interval — the rule not the exception), Maximum

explain_pi_vs_ci_for_validation — Return the specific explainer for the ReliaStats Interrupt Validation scatter chart's red y=x / blue 95% Prediction Interval / teal 99% Conf

interpret_weibull_shape — Given a Weibull shape parameter β (and optionally the characteristic-life parameter η), return a plain-language interpretation: which bathtu

weibull_summary — Given Weibull two-parameter (β, η), return all the closed-form summary statistics: MTTF (η·Γ(1+1/β)), B10 / B50 / B90 life, characteristic l

compute_availability — Given MTBF and MTTR (same time unit), return steady-state availability A = MTBF / (MTBF + MTTR). One-line closed-form, but worth a dedicated

system_reliability — Given per-component reliabilities and a structure ('series' or 'parallel'), return the system reliability. Series = product (all must work).