@lingochunk/mcp
npm
v0.13.0
Published by @lingochunk — 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.
Model Context Protocol server for the LingoChunk public API: your FSRS-graded vocabulary, native-audio transcripts and clips, and library, as tools for a coding agent.
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_anki_deckingests untrusted inputget_authoring_guideingests untrusted inputget_guided_writer_briefingests untrusted inputget_transcriptingests untrusted inputadd_cardno sensitive capabilityadd_languageno sensitive capabilitycommit_languageno sensitive capabilitycreate_annotationno sensitive capabilitycreate_courseno sensitive capabilitydelete_annotationno sensitive capabilitydelete_courseno sensitive capabilitydelete_lessonno sensitive capabilitydiscard_language_draftno sensitive capabilityget_audio_clipno sensitive capabilityget_audio_urlno sensitive capabilityget_guided_pathno sensitive capabilityget_guided_translation_sourceno sensitive capabilityget_lessonno sensitive capabilityget_lesson_translation_sourceno sensitive capabilityget_translation_sourceno sensitive capabilityget_vocabularyno sensitive capabilitylist_annotationsno sensitive capabilitylist_coursesno sensitive capabilitylist_decksno sensitive capabilitylist_languagesno sensitive capabilitylist_lessonsno sensitive capabilitylist_libraryno sensitive capabilitylookup_wordno sensitive capabilityplan_guided_pathno sensitive capabilityput_guided_plan_translationno sensitive capabilityput_guided_section_translationno sensitive capabilityput_language_translationsno sensitive capabilityput_lesson_translationno sensitive capabilitysave_lessonno sensitive capabilitysearch_examplesno sensitive capabilitysubmit_guided_lessonno sensitive capabilityupdate_annotationno sensitive capabilityupdate_lessonno sensitive capabilityvalidate_lessonno sensitive capabilitywhats_possibleno 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 |
|---|---|---|---|---|
v0.13.0 latest |
A 96/100 | 0 | 1.13.0 | 2026-09-08 |
v0.12.0 |
A 96/100 | 0 | 1.12.1 | 2026-07-31 |
v0.11.0 |
A 100/100 | 0 | 1.5.0 | 2026-07-22 |
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 @lingochunk/mcp --online
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