Paperlib MCP Server
paperlib-mcp
PyPI
v0.1.5
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.
Paper Library MCP - 文献管理与检索 MCP 服务器
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 55
Each tool and what it can reach — statically extracted from the published source.
download_pdfingests untrusted inputassign_claim_features_v1_2no sensitive capabilitybuild_claim_groups_v1no sensitive capabilitybuild_claim_groups_v1_2no sensitive capabilitybuild_communities_v1no sensitive capabilitybuild_community_evidence_packno sensitive capabilitybuild_evidence_packno sensitive capabilitybuild_section_evidence_pack_v1no sensitive capabilitycanonicalize_entities_v1no sensitive capabilitycanonicalize_relations_v1no sensitive capability
Show 45 more tools ↓
clear_graphno sensitive capabilitycollect_evidenceno sensitive capabilitycompose_full_template_v1no sensitive capabilitycompute_topic_df_cacheno sensitive capabilitydelete_documentno sensitive capabilitydraft_lit_review_v1no sensitive capabilitydraft_sectionno sensitive capabilityexplain_searchno sensitive capabilityexport_claim_matrix_grouped_v1no sensitive capabilityexport_claim_matrix_grouped_v1_2no sensitive capabilityexport_evidence_matrix_v1no sensitive capabilityexport_relations_compact_v1no sensitive capabilityexport_section_packet_v1no sensitive capabilityextract_graph_missingno sensitive capabilityextract_graph_v1no sensitive capabilitygenerate_review_outline_data_v1no sensitive capabilityget_chunkno sensitive capabilityget_documentno sensitive capabilityget_document_chunksno sensitive capabilityget_evidence_pack_infono sensitive capabilityget_outline_templatesno sensitive capabilitygraph_health_checkno sensitive capabilitygraph_statusno sensitive capabilityhealth_checkno sensitive capabilityimport_pdfno sensitive capabilityingest_statusno sensitive capabilitylint_review_v1no sensitive capabilitylint_section_v1no sensitive capabilitylist_documentsno sensitive capabilitylist_evidence_packsno sensitive capabilitylock_entityno sensitive capabilitymerge_entitiesno sensitive capabilityrebuild_communitiesno sensitive capabilityrechunk_documentno sensitive capabilityreembed_documentno sensitive capabilitysearch_fts_onlyno sensitive capabilitysearch_hybridno sensitive capabilitysearch_vector_onlyno sensitive capabilityselect_high_value_chunksno sensitive capabilitysplit_large_claim_groups_v1_2no sensitive capabilitysummarize_all_communitiesno sensitive capabilitysummarize_community_v1no sensitive capabilitytaxonomy_list_termsno sensitive capabilitytaxonomy_upsert_termno sensitive capabilityupdate_documentno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (55 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 |
|---|---|---|---|---|
v0.1.5 latest |
A 95/100 | 0 | 1.13.0 | 2026-08-25 |
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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