Numpy (daedalus) MCP Server
mcp-numpy
PyPI
v0.1.0
Published by daedalus — 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.
An MCP server that exposes NumPy functionality
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 − 1 = 99. 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 |
|---|---|
| −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.
Findings 0
Tools 72
Each tool and what it can reach — statically extracted from the published source.
np_absno sensitive capabilitynp_addno sensitive capabilitynp_arangeno sensitive capabilitynp_arccosno sensitive capabilitynp_arcsinno sensitive capabilitynp_arctanno sensitive capabilitynp_argmaxno sensitive capabilitynp_argminno sensitive capabilitynp_arrayno sensitive capabilitynp_concatenateno sensitive capability
Show 62 more tools ↓
np_corrcoefno sensitive capabilitynp_correlateno sensitive capabilitynp_cosno sensitive capabilitynp_coshno sensitive capabilitynp_crossno sensitive capabilitynp_cumprodno sensitive capabilitynp_cumsumno sensitive capabilitynp_detno sensitive capabilitynp_diagno sensitive capabilitynp_diffno sensitive capabilitynp_divideno sensitive capabilitynp_dotno sensitive capabilitynp_dtypeno sensitive capabilitynp_eigno sensitive capabilitynp_expno sensitive capabilitynp_eyeno sensitive capabilitynp_flattenno sensitive capabilitynp_fullno sensitive capabilitynp_histogramno sensitive capabilitynp_invno sensitive capabilitynp_linalg_normno sensitive capabilitynp_linspaceno sensitive capabilitynp_logno sensitive capabilitynp_log10no sensitive capabilitynp_matmulno sensitive capabilitynp_maxno sensitive capabilitynp_meanno sensitive capabilitynp_minno sensitive capabilitynp_modno sensitive capabilitynp_multiplyno sensitive capabilitynp_ndimno sensitive capabilitynp_onesno sensitive capabilitynp_percentileno sensitive capabilitynp_powerno sensitive capabilitynp_quantileno sensitive capabilitynp_randno sensitive capabilitynp_randintno sensitive capabilitynp_randnno sensitive capabilitynp_random_choiceno sensitive capabilitynp_repeatno sensitive capabilitynp_reshapeno sensitive capabilitynp_shapeno sensitive capabilitynp_shuffleno sensitive capabilitynp_sinno sensitive capabilitynp_sinhno sensitive capabilitynp_sizeno sensitive capabilitynp_solveno sensitive capabilitynp_splitno sensitive capabilitynp_sqrtno sensitive capabilitynp_squeezeno sensitive capabilitynp_stdno sensitive capabilitynp_subtractno sensitive capabilitynp_sumno sensitive capabilitynp_svdno sensitive capabilitynp_tanno sensitive capabilitynp_tanhno sensitive capabilitynp_tileno sensitive capabilitynp_traceno sensitive capabilitynp_transposeno sensitive capabilitynp_varno sensitive capabilitynp_zerosno sensitive capabilitynpastypeno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (72 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan 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 |
|---|---|---|---|---|
v0.1.0 latest |
A 99/100 | 0 | 1.12.1 | 2026-07-27 |
Embed this score
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.
Verify this score yourself
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 mcp-numpy --online --registry pypiOther implementations of Numpy 1
Independent packages implementing the same tool, scanned with the same engine. Compare all 2 side by side →
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