quantix-mcp
npm
v0.5.0
Published by marcosnunesmbs — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — statically extracted from the published source.
export_datareads sensitive datacreate_accountno sensitive capabilitycreate_anticipationno sensitive capabilitycreate_categoryno sensitive capabilitycreate_credit_cardno sensitive capabilitycreate_credit_transactionno sensitive capabilitycreate_settingsno sensitive capabilitycreate_subscriptionno sensitive capabilitycreate_transactionno sensitive capabilitycreate_transferno sensitive capabilitydeactivate_subscriptionno sensitive capabilitydelete_accountno sensitive capabilitydelete_categoryno sensitive capabilitydelete_credit_cardno sensitive capabilitydelete_subscription_permanentno sensitive capabilitydelete_transactionno sensitive capabilitydelete_transferno sensitive capabilityget_accountno sensitive capabilityget_account_balanceno sensitive capabilityget_accountsno sensitive capabilityget_active_subscriptionsno sensitive capabilityget_categoriesno sensitive capabilityget_categoryno sensitive capabilityget_credit_cardno sensitive capabilityget_credit_cardsno sensitive capabilityget_settingsno sensitive capabilityget_statementno sensitive capabilityget_statement_statusno sensitive capabilityget_subscriptionno sensitive capabilityget_subscriptionsno sensitive capabilityget_summaryno sensitive capabilityget_transactionno sensitive capabilityget_transactionsno sensitive capabilityget_transferno sensitive capabilityget_transfersno sensitive capabilityimport_datano sensitive capabilitypay_statementno sensitive capabilitypay_transactionno sensitive capabilityreactivate_subscriptionno sensitive capabilityreopen_statementno sensitive capabilityunpay_transactionno sensitive capabilityupdate_accountno sensitive capabilityupdate_categoryno sensitive capabilityupdate_credit_cardno sensitive capabilityupdate_credit_transactionno sensitive capabilityupdate_settingsno sensitive capabilityupdate_subscriptionno sensitive capabilityupdate_transactionno sensitive capabilityupdate_transferno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.5.0 latest |
A 96/100 | 0 | 1.10.0 | 2026-07-25 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan quantix-mcp --online
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