Getnote MCP Server
@getnote/mcp
npm
v1.7.2
Published by @getnote — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
MCP server for 得到大脑（Get笔记） — manage notes and knowledge bases from AI assistants
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 − 2 = 98. 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 |
|---|---|
| −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 38
Each tool and what it can reach — statically extracted from the published source.
add_note_tagsno sensitive capabilitybatch_add_notes_to_topicno sensitive capabilitycreate_topicno sensitive capabilitycreate_topic_directoryno sensitive capabilitydelete_noteno sensitive capabilitydelete_note_tagno sensitive capabilitydelete_topic_directoryno sensitive capabilityfollow_topic_bloggerno sensitive capabilityfollow_topic_liveno sensitive capabilityget_blogger_content_detailno sensitive capability
Show 28 more tools ↓
get_live_detailno sensitive capabilityget_noteno sensitive capabilityget_note_attachmentsno sensitive capabilityget_note_originalno sensitive capabilityget_note_quick_noteno sensitive capabilityget_note_task_progressno sensitive capabilityget_note_timelineno sensitive capabilityget_note_todosno sensitive capabilityget_note_transcriptno sensitive capabilityget_quotano sensitive capabilityget_upload_configno sensitive capabilityget_upload_tokenno sensitive capabilitylist_notesno sensitive capabilitylist_subscribe_topicsno sensitive capabilitylist_topic_blogger_contentsno sensitive capabilitylist_topic_bloggersno sensitive capabilitylist_topic_directoriesno sensitive capabilitylist_topic_livesno sensitive capabilitylist_topic_notesno sensitive capabilitylist_topicsno sensitive capabilityrecallno sensitive capabilityrecall_knowledgeno sensitive capabilityremove_note_from_topicno sensitive capabilitysave_noteno sensitive capabilityshare_noteno sensitive capabilityupdate_noteno sensitive capabilityupdate_topic_directoryno sensitive capabilityupload_imageno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (38 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 4
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 |
|---|---|---|---|---|
v1.7.2 latest |
A 98/100 | 0 | 1.13.0 | 2026-09-07 |
v1.7.0 |
A 98/100 | 0 | 1.13.0 | 2026-09-01 |
v1.6.0 |
A 98/100 | 0 | 1.12.1 | 2026-08-13 |
v1.5.3 |
A 98/100 | 0 | 1.10.0 | 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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