Biocontext Kb MCP Server
biocontext-kb
PyPI
v0.2.1
Published by biocontext_ai — 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.
A knowledgebase MCP server for biomedical research, part of the BioContextAI project.
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 − 1 = 99. 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 |
|---|---|
| −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.
Findings 0
Tools 52
Each tool and what it can reach — statically extracted from the published source.
count_drugs_by_fieldno sensitive capabilityget_alphafold_info_by_protein_symbolno sensitive capabilityget_antibody_informationno sensitive capabilityget_antibody_listno sensitive capabilityget_available_ontologiesno sensitive capabilityget_available_pharmacologic_classesno sensitive capabilityget_biorxiv_preprint_detailsno sensitive capabilityget_cell_ontology_termsno sensitive capabilityget_chebi_terms_by_chemicalno sensitive capabilityget_drug_by_application_numberno sensitive capability
Show 42 more tools ↓
get_drug_label_infono sensitive capabilityget_drug_statisticsno sensitive capabilityget_efo_id_by_disease_nameno sensitive capabilityget_ensembl_id_from_gene_symbolno sensitive capabilityget_europepmc_articlesno sensitive capabilityget_europepmc_fulltextno sensitive capabilityget_generic_equivalentsno sensitive capabilityget_go_terms_by_geneno sensitive capabilityget_human_protein_atlas_infono sensitive capabilityget_interpro_entryno sensitive capabilityget_kegg_id_by_gene_symbolno sensitive capabilityget_open_targets_graphql_schemano sensitive capabilityget_open_targets_query_examplesno sensitive capabilityget_panglaodb_marker_genesno sensitive capabilityget_panglaodb_optionsno sensitive capabilityget_pride_projectno sensitive capabilityget_protein_domainsno sensitive capabilityget_reactome_info_by_identifierno sensitive capabilityget_recent_biorxiv_preprintsno sensitive capabilityget_recruiting_studies_by_locationno sensitive capabilityget_string_idno sensitive capabilityget_string_interactionsno sensitive capabilityget_string_network_imageno sensitive capabilityget_string_similarity_scoresno sensitive capabilityget_studies_by_conditionno sensitive capabilityget_studies_by_interventionno sensitive capabilityget_study_detailsno sensitive capabilityget_term_detailsno sensitive capabilityget_term_hierarchical_childrenno sensitive capabilityget_uniprot_id_by_protein_symbolno sensitive capabilityget_uniprot_protein_infono sensitive capabilityquery_keggno sensitive capabilityquery_open_targets_graphqlno sensitive capabilitysearch_drugs_by_therapeutic_classno sensitive capabilitysearch_drugs_fdano sensitive capabilitysearch_google_scholar_publicationsno sensitive capabilitysearch_grants_govno sensitive capabilitysearch_interpro_entriesno sensitive capabilitysearch_ontology_termsno sensitive capabilitysearch_pride_projectsno sensitive capabilitysearch_pride_proteinsno sensitive capabilitysearch_studiesno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (52 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 |
|---|---|---|---|---|
v0.2.1 latest |
A 99/100 | 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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