Labmate MCP Server
labmate-mcp
PyPI
v7.3.1
Published by jonasrackl — 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.
Your AI lab companion — 78 MCP tools from literature search to benchwork to publication
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.
Findings 0
Tools 81
Each tool and what it can reach — statically extracted from the published source.
search_web_of_scienceingests untrusted inputanalyze_research_topicno sensitive capabilityassign_peptide_ms_peaksno sensitive capabilitybuild_bibliographyno sensitive capabilitycalculate_buffer_phno sensitive capabilitycalculate_concentrationno sensitive capabilitycalculate_dilutionno sensitive capabilitycalculate_isotope_patternno sensitive capabilitycalculate_molarityno sensitive capabilitycalculate_peptide_extinctionno sensitive capability
Show 71 more tools ↓
calculate_peptide_pino sensitive capabilitycalculate_reaction_massno sensitive capabilitycalculate_yieldno sensitive capabilitycheck_peptide_synthesisno sensitive capabilityclassify_natural_productno sensitive capabilitycompute_descriptorsno sensitive capabilityconvert_unitsno sensitive capabilityfind_open_access_pdfno sensitive capabilityfind_similar_papersno sensitive capabilityformat_citationno sensitive capabilityformat_molecular_formulano sensitive capabilitygenerate_bibtexno sensitive capabilitygenerate_peptide_libraryno sensitive capabilitygenerate_si_checklistno sensitive capabilityget_author_profileno sensitive capabilityget_chemrxiv_categoriesno sensitive capabilityget_compound_propertiesno sensitive capabilityget_journal_metricsno sensitive capabilityget_paper_citationsno sensitive capabilityget_paper_detailsno sensitive capabilityget_paper_referencesno sensitive capabilityget_peptide_ion_seriesno sensitive capabilityget_protein_structureno sensitive capabilityget_safety_datano sensitive capabilityget_thesis_guideno sensitive capabilitylookup_abbreviationno sensitive capabilitylookup_amino_acid_propertiesno sensitive capabilitylookup_buffer_recipeno sensitive capabilitylookup_column_chromatographyno sensitive capabilitylookup_cooling_bathno sensitive capabilitylookup_experimental_templateno sensitive capabilitylookup_iupac_nameno sensitive capabilitylookup_journal_guideno sensitive capabilitylookup_lab_tipsno sensitive capabilitylookup_named_reactionno sensitive capabilitylookup_nmr_solventno sensitive capabilitylookup_periodic_tableno sensitive capabilitylookup_protecting_groupno sensitive capabilitylookup_rxn_dev_checklistno sensitive capabilitylookup_safety_cardno sensitive capabilitylookup_solvent_propertiesno sensitive capabilitylookup_tlc_stainno sensitive capabilitylookup_workup_procedureno sensitive capabilitymodify_peptideno sensitive capabilityname_to_smilesno sensitive capabilitypeptide_cyclization_optionsno sensitive capabilitypeptide_propertiesno sensitive capabilitypeptide_to_smilesno sensitive capabilityplan_synthesisno sensitive capabilitypredict_admetno sensitive capabilitypredict_atom_mappingno sensitive capabilitypredict_nmrno sensitive capabilitypredict_pkano sensitive capabilitypredict_productno sensitive capabilitypredict_retrosynthesisno sensitive capabilitypredict_solubilityno sensitive capabilityprofile_compoundno sensitive capabilitysearch_binding_datano sensitive capabilitysearch_chemrxivno sensitive capabilitysearch_compoundno sensitive capabilitysearch_crystal_structuresno sensitive capabilitysearch_mass_spectrano sensitive capabilitysearch_materials_projectno sensitive capabilitysearch_nist_webbookno sensitive capabilitysearch_papersno sensitive capabilitysearch_protein_structuresno sensitive capabilitysearch_tautomersno sensitive capabilitysearch_toxicityno sensitive capabilitytext_to_procedureno sensitive capabilitytranslate_compound_idsno sensitive capabilityvalidate_cas_numberno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (81 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 |
|---|---|---|---|---|
v7.3.1 latest |
A 96/100 | 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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