@aigiglab-org/mcp-server
npm
v1.3.1
Published by @aigiglab-org — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Official Model Context Protocol (MCP) server for AIGigLab.
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.
Each tool and what it can reach — statically extracted from the published source.
get_leadsingests untrusted inputscrape_leadsingests untrusted inputbrandos_generate_assetno sensitive capabilitybrandos_generate_mockupno sensitive capabilitybrandos_get_profileno sensitive capabilitybrandos_update_profileno sensitive capabilitycompose_musicno sensitive capabilitycreate_composition_planno sensitive capabilitycreate_voice_cloneno sensitive capabilityexport_leadsno sensitive capabilityfish_create_voice_cloneno sensitive capabilityfish_list_modelsno sensitive capabilityfish_synthesize_voiceno sensitive capabilityfish_transcribe_audiono sensitive capabilitygenerate_assetno sensitive capabilitygenerate_thumbnail_conceptsno sensitive capabilitygenerate_thumbnail_imageno sensitive capabilityget_credit_transactionsno sensitive capabilityget_linkedin_configno sensitive capabilityget_linkedin_pagesno sensitive capabilityget_linkedin_post_historyno sensitive capabilityget_product_usageno sensitive capabilityget_profile_infono sensitive capabilitylist_assetsno sensitive capabilitylist_lead_campaignsno sensitive capabilitylist_modelsno sensitive capabilitylist_voicesno sensitive capabilityremotion_generate_videono sensitive capabilityremotion_get_historyno sensitive capabilityremotion_get_statusno sensitive capabilityreplicate_historyno sensitive capabilityreplicate_latentsyncno sensitive capabilityreplicate_ltx_fastno sensitive capabilityreplicate_wan_t2vno sensitive capabilityset_linkedin_post_targetno sensitive capabilitysynthesize_voiceno sensitive capabilitytext_to_sound_effectsno sensitive capabilitytranscribe_audiono sensitive capabilitytrigger_linkedin_post_nowno sensitive capabilityupdate_linkedin_configno 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 |
|---|---|---|---|---|
v1.3.1 latest |
A 95/100 | 0 | 1.13.0 | 2026-09-07 |
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 @aigiglab-org/mcp-server --online
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