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fault-tree-analysis vs Snapback

fault-tree-analysis is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑28.

fault-tree-analysis is a plugin bundle for AI coding tools published by dunnock. No marketplace we read lists it any more. Snapback is an MCP server published by ra1labsworkx-wq. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-02. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplacefault-tree-analysisSnapback
Community marketplace ddunnock/claude-plugins Removed on 2026-10-28
Version: 1.0.2
Forks (GitHub): 7
Stars (GitHub): 14
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.8.4
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

fault-tree-analysis vs Snapback
Factfault-tree-analysisno longer listed · Snapback
Marketplaces that list it (differs)01
Stars (GitHub) (differs)140
Forks (GitHub) (differs)70
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleRemote server (api.snapback.sh/mcp)
Transport (differs)Not statedStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
LicenceNot statedNot stated
Repository (differs)github.com/ddunnock/claude-pluginsgithub.com/ra1labsworkx-wq/snapback-selfheal
Changes in the last 7 days (differs)20
First seen (differs)2026-10-152026-10-11
Endpoint at the last check (differs)no remote endpoint we checkResponded 39 h ago

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of fault-tree-analysis

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • fmeca io.github.praxec/fmeca

    Deterministic, offline FMECA MCP server: failure modes, criticality matrix, mitigations, readiness

    by praxec · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • misakanet io.github.Ikalus1988/misakanet

    Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.

    by Ikalus1988 · MCP server

    Listed on: Official MCP Registry, Community GitHub marketplaces · Describes nearly the same job

  • DAG Studio MCP

    Causal DAG analysis: backdoor paths, adjustment sets, bias simulation. Validated against dagitty.

    by blackswancausallabs.com · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • everyday-causal-skills

    A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and…

    by RobsonTigre · Plugin bundle

    Listed on: Claude Code: claude-plugins-community · Describes nearly the same job

  • thinking-frameworks

    Decision and analysis frameworks including OODA, SWOT, Cynefin, Red Team, Pre-mortem, WRAP, 5 Whys, and Post-mortem

    by neurofoo · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • predictive-maintenance

    Complete predictive maintenance toolkit for vibration analysis, bearing/gear fault diagnosis, anomaly detection, and ISO standards compliance.

    by Luigi Di Maggio · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

fault-tree-analysis

In its own words, on Community GitHub marketplaces:

Conduct Fault Tree Analysis (FTA) for system failure analysis using Boolean logic gates. Identifies minimal cut sets, single points of failure, and failure probabilities.

Snapback

In its own words, on Official MCP Registry:

Diagnose why an AI agent failed and get the verified fix instantly. Free, no token.

How to run each

fault-tree-analysis

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

Snapback As a remote MCP server

Claude Code
claude mcp add --transport http snapback https://api.snapback.sh/mcp

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only Snapback has a remote endpoint we check. How we check endpoints

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: fault-tree-analysis · What it can do: Snapback · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built