Kernelcad MCP Server
https://mcp.kernelcad.com/mcp
Remote
v1.0.0
Published by mcp.kernelcad.com — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Agent-first CAD: editable .kcad.ts source, deterministic review, OpenCASCADE kernel.
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:
| Points | Adoption-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
Tools 54
Each tool and what it can reach — enumerated from the running server.
fetch_partingests untrusted inputget_projectingests untrusted inputget_project_revisioningests untrusted inputreview_paint_peek_latestingests untrusted inputadd_connectorno sensitive capabilityadd_constraintno sensitive capabilityadd_curveno sensitive capabilityadd_featureno sensitive capabilityadd_mateno sensitive capabilityadd_partno sensitive capability
Show 44 more tools ↓
add_path_segmentno sensitive capabilityadd_pattern_featureno sensitive capabilityadd_surfaceno sensitive capabilityadd_textno sensitive capabilityadd_variable_sweepno sensitive capabilityadd_workspace_targetno sensitive capabilitycapture_animationno sensitive capabilitydesign_loopno sensitive capabilitydiff_geometryno sensitive capabilitydiff_scriptsno sensitive capabilitydrawing_to_cadno sensitive capabilityevaluate_scriptno sensitive capabilityevaluate_sdfno sensitive capabilityexportno sensitive capabilityfea_summaryno sensitive capabilityfind_partno sensitive capabilityflatten_patternno sensitive capabilityget_latest_renderno sensitive capabilityget_model_meshno sensitive capabilityinspectno sensitive capabilitylookup_apino sensitive capabilitylookup_authoring_skillno sensitive capabilitylookup_cookbookno sensitive capabilitylookup_diagnosticsno sensitive capabilitymesh_summaryno sensitive capabilitymesh_to_featuresno sensitive capabilityopen_in_studiono sensitive capabilityproject_curveno sensitive capabilityqueryno sensitive capabilityremove_featureno sensitive capabilityrender_previewno sensitive capabilityrepair_scriptno sensitive capabilityresolve_assumptionsno sensitive capabilityreview_cadno sensitive capabilityrun_feano sensitive capabilitysend_to_printerno sensitive capabilityset_paramno sensitive capabilityset_scene_returnno sensitive capabilitysolve_matesno sensitive capabilitysolve_sketchno sensitive capabilitysweep_toleranceno sensitive capabilitytrace_from_imageno sensitive capabilityverifyno sensitive capabilitywhy_did_this_failno sensitive capability
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 |
|---|---|---|---|---|
v1.0.0 latest |
A 97/100 | 0 | 1.14.0 | 2026-09-22 |
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.
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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