com.reliastats/public

up checked 2026-11-11T08:39:43.281Z

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Publisher-provided title

ReliaStats

Publisher-provided description

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

Summary by lookupd

Provides reliability engineering math and explainers: availability, Weibull life statistics, system reliability, and distribution…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http public https://reliastats.com/mcp/v1

Codex, remote (streamable-http)

codex mcp add public --url https://reliastats.com/mcp/v1

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "public": {
      "url": "https://reliastats.com/mcp/v1"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (11 tools)

Publisher-provided text

• 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 availability identit
• 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 to physical failure m
• explain_advanced_reliability_patterns Return a textbook-tier explainer of advanced reliability patterns: censored data (right/left/interval — the rule not the exception), Maximum Likelihood Estimati
• 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% Confidence Interval refe
• interpret_weibull_shape Given a Weibull shape parameter β (and optionally the characteristic-life parameter η), return a plain-language interpretation: which bathtub-curve regime β imp
• 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 life (just η, surface
• 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 tool so LLMs don't
• system_reliability Given per-component reliabilities and a structure ('series' or 'parallel'), return the system reliability. Series = product (all must work). Parallel = 1 − prod
• recommend_distribution Given a free-text symptom description (e.g. 'manufacturing burn-in', 'bearing wearout under variable load', 'cosmic-ray bit flips'), return an ordered shortlist
• list_paired_models Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES via ReliaSim) and one
• describe_bottling_line Return the full worked-example doc for the bottling-line paired model — topology (5 machines: Filler/Capper/Labeler/Case Packer/Palletizer, 100 bottles/min, Wei

Details

• Version: 1.2.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 244 ms
• First indexed: 2026-11-01T08:57:24.092Z
• Last seen in registry: 2026-11-10T03:17:09.931Z
• Repository: https://github.com/chiaha-ai/reliastats-site
• Website: https://reliastats.com

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• API base: https://api.lookupd.com
• MCP URL: https://api.lookupd.com/mcp