Bios MCP Server
bios-mcp
npm
v0.2.1
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
BIOS MCP server — train and deploy AI models from MCP-compatible automation clients
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 − 5 = 95. 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 |
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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 42
Each tool and what it can reach — statically extracted from the published source.
get_checkpoint_download_manifestingests untrusted inputget_training_checkpointsingests untrusted inputchat_with_inferenceno sensitive capabilitycreate_inferenceno sensitive capabilitycreate_training_jobno sensitive capabilitydelete_datasetno sensitive capabilitydelete_inferenceno sensitive capabilitydelete_training_checkpointno sensitive capabilityget_gpu_pricingno sensitive capabilityget_inference_bookingno sensitive capability
Show 32 more tools ↓
get_inference_gpu_optionsno sensitive capabilityget_inference_metricsno sensitive capabilityget_inference_notificationsno sensitive capabilityget_inference_statusno sensitive capabilityget_model_configno sensitive capabilityget_platform_guideno sensitive capabilityget_recommended_gpuno sensitive capabilityget_training_capabilitiesno sensitive capabilityget_training_evalsno sensitive capabilityget_training_logsno sensitive capabilityget_training_metricsno sensitive capabilityget_training_statusno sensitive capabilityget_wallet_balanceno sensitive capabilityimport_huggingface_datasetno sensitive capabilityintrospect_api_keyno sensitive capabilitylist_datasetsno sensitive capabilitylist_inferencesno sensitive capabilitylist_integrationsno sensitive capabilitylist_modelsno sensitive capabilitylist_supported_architecturesno sensitive capabilitylist_training_jobsno sensitive capabilitypreflight_inferenceno sensitive capabilitypreflight_training_jobno sensitive capabilitypreview_datasetno sensitive capabilityrestart_inferenceno sensitive capabilityresume_inferenceno sensitive capabilityresume_training_jobno sensitive capabilitysearch_modelsno sensitive capabilitystop_inferenceno sensitive capabilitystop_training_jobno sensitive capabilityupdate_inference_policyno sensitive capabilityupload_datasetno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (42 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 3
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 |
|---|---|---|---|---|
v0.2.1 latest |
A 95/100 | 0 | 1.13.0 | 2026-09-07 |
v0.2.0 |
B 87/100 | 0 | 1.12.1 | 2026-07-29 |
v0.1.1 |
B 87/100 | 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.
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