https://mcp.nullary.ai/mcp
Remote
v1.0.1
Published by mcp.nullary.ai — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Negative results intelligence for drug discovery — query measured failures via MCP.
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 − 0 = 100. 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:
✓ No adoption-risk deductions — minimal blast radius, verified enough, and fully inspected.
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 — enumerated from the running server.
get_compoundno sensitive capabilityget_coverageno sensitive capabilityget_finding_provenanceno sensitive capabilityget_model_cardno sensitive capabilityget_target_landscapeno sensitive capabilitylist_modelsno sensitive capabilitylist_top_targetsno sensitive capabilitysearch_adc_linker_failuresno sensitive capabilitysearch_admet_failuresno sensitive capabilitysearch_admet_failures_all_modalitiesno sensitive capabilitysearch_ancestry_specific_failuresno sensitive capabilitysearch_bispecific_format_failuresno sensitive capabilitysearch_developability_failuresno sensitive capabilitysearch_drug_drug_interaction_failuresno sensitive capabilitysearch_failed_adcsno sensitive capabilitysearch_failed_bispecificsno sensitive capabilitysearch_failed_clinical_antibodiesno sensitive capabilitysearch_failed_essentiality_screensno sensitive capabilitysearch_failed_guidesno sensitive capabilitysearch_failed_oligonucleotidesno sensitive capabilitysearch_failed_peptide_therapeuticsno sensitive capabilitysearch_failed_protacsno sensitive capabilitysearch_failed_replicationsno sensitive capabilitysearch_failed_selectivityno sensitive capabilitysearch_failed_vaccinesno sensitive capabilitysearch_inactive_compoundsno sensitive capabilitysearch_indication_historyno sensitive capabilitysearch_mechanism_failuresno sensitive capabilitysearch_oligo_delivery_failuresno sensitive capabilitysearch_pathogen_historyno sensitive capabilitysearch_peptide_stability_issuesno sensitive capabilitysearch_protac_e3_issuesno sensitive capabilitysearch_safety_failuresno sensitive capabilitysearch_target_historyno sensitive capabilitysearch_vaccine_immunogenicity_failuresno 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 |
|---|---|---|---|---|
v1.0.1 latest |
A 100/100 | 0 | 1.10.0 | 2026-07-24 |
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 https://mcp.nullary.ai/mcp --online
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A free one-minute reset for people, delivered by AI, with no account or personal data.