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ReliaStats

MCP serverVerified domain · reliastats.comRemote● LiveFree to try

Reliability math: Weibull life, availability from MTBF/MTTR, system reliability, which fit to use.

Install

Remote server: your requests and data go to reliastats.com. Claude Code: claude mcp add --transport http reliastats https://reliastats.com/mcp/v1 · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

  • 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).
  • recommend_distribution — Given a free-text symptom description (e.g. 'manufacturing burn-in', 'bearing wearout under variable load', 'cosmic-ray bit flips'), return
  • list_paired_models — Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES vi
  • describe_bottling_line — Return the full worked-example doc for the bottling-line paired model — topology (5 machines: Filler/Capper/Labeler/Case Packer/Palletizer,

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

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