Neuronsearchlab MCP Server

@neuronsearchlab/mcp npm v1.1.0 Source verified

Published by neuronsearchlab — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.

MCP server for NeuronSearchLab recommendations, search, catalogue, analytics, and platform operations.

Trust grade
A
97/100
Last scanned get badge →
Trust
A · 97/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 97/100

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 − 3 = 97. 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:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — 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 0

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 73

Each tool and what it can reach — statically extracted from the published source.

  • get_auto_recommendationsingests untrusted input
  • get_recommendationsingests untrusted input
  • activate_campaignno sensitive capability
  • activate_pipelineno sensitive capability
  • call_platform_apino sensitive capability
  • cancel_training_jobno sensitive capability
  • clone_pipelineno sensitive capability
  • compare_itemsno sensitive capability
  • create_api_keyno sensitive capability
  • create_campaignno sensitive capability
Show 63 more tools ↓
  • create_contextno sensitive capability
  • create_event_typeno sensitive capability
  • create_experimentno sensitive capability
  • create_pipelineno sensitive capability
  • create_ruleno sensitive capability
  • create_segmentno sensitive capability
  • create_training_jobno sensitive capability
  • deactivate_pipelineno sensitive capability
  • delete_campaignno sensitive capability
  • delete_contextno sensitive capability
  • delete_event_typeno sensitive capability
  • delete_itemsno sensitive capability
  • delete_pipelineno sensitive capability
  • delete_ruleno sensitive capability
  • delete_segmentno sensitive capability
  • disable_ruleno sensitive capability
  • enable_ruleno sensitive capability
  • explain_rankingno sensitive capability
  • get_account_planno sensitive capability
  • get_campaignno sensitive capability
  • get_contextno sensitive capability
  • get_experimentno sensitive capability
  • get_experiment_metricsno sensitive capability
  • get_experiment_resultsno sensitive capability
  • get_item_analyticsno sensitive capability
  • get_pipelineno sensitive capability
  • get_ranking_metricsno sensitive capability
  • get_ruleno sensitive capability
  • get_segmentno sensitive capability
  • get_segment_metricsno sensitive capability
  • get_segment_statsno sensitive capability
  • get_training_jobno sensitive capability
  • get_user_analyticsno sensitive capability
  • list_api_keysno sensitive capability
  • list_campaignsno sensitive capability
  • list_contextsno sensitive capability
  • list_event_typesno sensitive capability
  • list_experimentsno sensitive capability
  • list_integrationsno sensitive capability
  • list_pipelinesno sensitive capability
  • list_platform_routesno sensitive capability
  • list_rulesno sensitive capability
  • list_segmentsno sensitive capability
  • list_training_jobsno sensitive capability
  • patch_itemno sensitive capability
  • pause_campaignno sensitive capability
  • refresh_experiment_resultsno sensitive capability
  • reorder_rulesno sensitive capability
  • revoke_api_keyno sensitive capability
  • search_itemsno sensitive capability
  • start_experimentno sensitive capability
  • stop_experimentno sensitive capability
  • toggle_ruleno sensitive capability
  • top_itemsno sensitive capability
  • track_eventno sensitive capability
  • update_campaignno sensitive capability
  • update_contextno sensitive capability
  • update_event_typeno sensitive capability
  • update_experimentno sensitive capability
  • update_pipelineno sensitive capability
  • update_ruleno sensitive capability
  • update_segmentno sensitive capability
  • upsert_itemno sensitive capability

What this scan could not see

Versions 6

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.

VersionScoreFindingsEngineScanned
v1.1.0 latest A 97/100 0 1.13.0 2026-09-08
v1.0.0 A 97/100 0 1.13.0 2026-09-01
v0.6.3 A 97/100 0 1.12.1 2026-08-21
v0.6.2 A 97/100 0 1.12.1 2026-08-16
v0.6.0 A 97/100 0 1.12.1 2026-08-06
Show 1 more version ↓
v0.5.0 A 100/100 0 1.5.0 2026-07-22

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.

MCP Trust Score: A · 97/100
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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 @neuronsearchlab/mcp --online

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