sketchup-mcp2
PyPI
v0.3.1
Published by zinin — 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.
Sketchup integration through Model Context Protocol
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 − 7 = 93. 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 |
| −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.
Tool "eval_ruby" appears to run shell commands or evaluate code (keyword "eval" in tool name). Arbitrary execution driven by model input is one of the most dangerous MCP capabilities; combined with any untrusted input it becomes RCE.
Fix: Sandbox execution, allowlist commands/arguments, and never pass model output to a shell unescaped.
Location: tool eval_ruby
Tool "eval_ruby" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.
Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.
Location: tool eval_ruby
Each tool and what it can reach — statically extracted from the published source.
eval_rubyruns code / shellboolean_operationno sensitive capabilitychamfer_edgeno sensitive capabilitycreate_componentno sensitive capabilitycreate_dovetailno sensitive capabilitycreate_finger_jointno sensitive capabilitycreate_layerno sensitive capabilitycreate_mortise_tenonno sensitive capabilitydelete_componentno sensitive capabilityexport_sceneno sensitive capabilityfillet_edgeno sensitive capabilityfind_componentsno sensitive capabilityget_component_infono sensitive capabilityget_model_infono sensitive capabilityget_selectionno sensitive capabilityget_versionno sensitive capabilityget_viewport_screenshotno sensitive capabilitylist_componentsno sensitive capabilitylist_layersno sensitive capabilityset_materialno sensitive capabilitytransform_componentno sensitive capabilityundono 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 |
|---|---|---|---|---|
v0.3.1 latest |
A 93/100 | 2 | 1.13.0 | 2026-08-30 |
v0.3.0 |
A 93/100 | 2 | 1.13.0 | 2026-08-25 |
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 sketchup-mcp2 --online --registry pypi
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