Workbench MCP Server
https://seqbench.com/api/mcp
Remote
v1.1.0
Published by seqbench.com — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Hosted DNA/RNA/protein tools: primers, oligos, PCR, cloning, CRISPR, alignment, batch & pipelines.
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 − 6 = 94. 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 |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
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 1
critical Completed toxic-flow trifecta across toolsMTC-FLOW-002
This server (without client built-ins) exposes a complete data-exfiltration chain: sequence_fetch → sanger_plate_verify ⇒ sequence_format_convert. Untrusted input is ingested, private data is read, and it can be sent to an external sink — and at least one leg is a direct schema wire (⇒), where a producer's output drops straight into a free-text parameter of the next tool, so the chain needs little agent cooperation. Static analysis proves the primitive exists, not that a specific run will occur.
Fix: Remove one leg of the trifecta: isolate untrusted-input tools from secret-reading tools and from egress tools, or require human approval between them.
Location: flow sequence_fetch → sanger_plate_verify → sequence_format_convert
Tools 114
Each tool and what it can reach — enumerated from the running server.
sanger_plate_verifyreads sensitive datasequence_fetchingests untrusted inputsequence_format_convertnetwork egresssequence_searchingests untrusted inputsession_getingests untrusted inputvector_library_searchingests untrusted inputweb_searchingests untrusted inputalphafold_lookupno sensitive capabilityaso_designno sensitive capabilityassembly_outcomesno sensitive capability
Show 104 more tools ↓
band_tracebackno sensitive capabilitybase_edit_quantno sensitive capabilitybase_editing_designno sensitive capabilitybatchno sensitive capabilitycharacterize_sequenceno sensitive capabilitycloning_diagnoseno sensitive capabilitycloning_next_observationno sensitive capabilitycloning_simulateno sensitive capabilitycodon_adaptation_indexno sensitive capabilitycodon_optimizeno sensitive capabilityconstruct_autofixno sensitive capabilityconstruct_qcno sensitive capabilitycrispr_grna_designno sensitive capabilitycrispr_hdr_donorno sensitive capabilitycrispr_offtarget_checkno sensitive capabilitycrispr_ontargetno sensitive capabilitycross_dimerno sensitive capabilitydiagnostic_digestno sensitive capabilitydna_molarityno sensitive capabilitydouble_digestno sensitive capabilityediting_plate_quantifyno sensitive capabilityexport_echo_picklistno sensitive capabilityexport_opentrons_protocolno sensitive capabilityexport_plate_layoutno sensitive capabilityexpression_heatmap_clusterno sensitive capabilityfastq_qc_reportno sensitive capabilityfastq_trimno sensitive capabilityfind_orfsno sensitive capabilityformat_sequenceno sensitive capabilityfunctional_enrichmentno sensitive capabilitygc_contentno sensitive capabilitygene_dossierno sensitive capabilitygene_expressionno sensitive capabilitygene_modelno sensitive capabilitygolden_gate_designno sensitive capabilitygolden_gate_fidelityno sensitive capabilitygolden_gate_from_partsno sensitive capabilityhgvs_convertno sensitive capabilityid_map_pollno sensitive capabilityid_map_submitno sensitive capabilityin_silico_pcrno sensitive capabilitykasp_primer_designno sensitive capabilityligation_setupno sensitive capabilitymelting_temperatureno sensitive capabilitymotif_finderno sensitive capabilitymultiple_sequence_alignmentno sensitive capabilitymultiplex_panel_designno sensitive capabilityoligo_analysisno sensitive capabilityoligo_cofoldno sensitive capabilityoligo_pool_screenno sensitive capabilityortholog_mapno sensitive capabilityoutcome_deconvolveno sensitive capabilitypairwise_alignmentno sensitive capabilityparse_genbankno sensitive capabilityparse_sanger_traceno sensitive capabilityparse_snapgeneno sensitive capabilityparts_library_searchno sensitive capabilityplasmid_annotateno sensitive capabilityplasmid_deep_annotateno sensitive capabilityplasmid_full_reportno sensitive capabilityplasmid_identifyno sensitive capabilityprime_editing_designno sensitive capabilityprime_editing_efficiencyno sensitive capabilityprime_editing_twin_designno sensitive capabilityprimer_designno sensitive capabilityprimer_specificityno sensitive capabilityprotease_digestionno sensitive capabilityprotein_annotate_pollno sensitive capabilityprotein_annotate_submitno sensitive capabilityprotein_hydrophobicityno sensitive capabilityprotein_propertiesno sensitive capabilityrandom_sequenceno sensitive capabilityrbs_designno sensitive capabilityrbs_predictno sensitive capabilityread_placement_planno sensitive capabilityrepeat_instabilityno sensitive capabilityrestriction_sitesno sensitive capabilityreverse_complementno sensitive capabilityreverse_translateno sensitive capabilityrna_foldno sensitive capabilitysanger_assembleno sensitive capabilitysanger_indel_spectrumno sensitive capabilitysanger_knockin_quantno sensitive capabilitysanger_vs_referenceno sensitive capabilitysave_permalinkno sensitive capabilityseqfile_statsno sensitive capabilitysequence_reportno sensitive capabilitysequencing_readback_verifyno sensitive capabilitysession_createno sensitive capabilitysession_runno sensitive capabilitysession_setno sensitive capabilitysirna_designno sensitive capabilitysite_directed_mutagenesisno sensitive capabilitytrace_secondary_peaksno sensitive capabilitytranslateno sensitive capabilityvariant_annotateno sensitive capabilityvariant_comparatorno sensitive capabilityvariant_to_constructno sensitive capabilityvector_library_getno sensitive capabilityverify_assemblyno sensitive capabilityverify_constructno sensitive capabilityvirtual_gelno sensitive capabilityvolcano_plot_datano sensitive capabilityworkflowno sensitive capability
Toxic flows 1
Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
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 |
|---|---|---|---|---|
v1.1.0 latest |
A 94/100 | 1 | 1.13.0 | 2026-09-14 |
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.
npx mcptrustchecker scan https://seqbench.com/api/mcp --onlineMore in Data Science & ML
MCP server for 2s.io — 575+ pay-per-call tools for AI agents — ground-truth data, AI gateway, and agent infra (storage, locks, queues, watchers). x402 USDC on Base/Solana, no API keys, upto usage billing, free trials.
Abgeordnetenwatch MCP — German federal & state parliament data.
ArXiv preprints + Google Scholar papers, with citation counts in one query.
Add MCP servers to your favorite coding agents with a single command.
Help agents automatically write and test stories for your UI components
Model Context Protocol server for AI-Archive platform - enables AI agents to discover, submit, and review research papers