Blender Copilot MCP Server
blender-copilot
PyPI
v1.0.0
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
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 − 5 = 95. 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 |
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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 55
Each tool and what it can reach — statically extracted from the published source.
download_polyhaven_assetingests untrusted inputdownload_sketchfab_modelingests untrusted inputanalyze_sceneno sensitive capabilitybake_texturesno sensitive capabilitybuild_node_graphno sensitive capabilityconfigure_render_settingsno sensitive capabilitycreate_objectno sensitive capabilitydelete_objectno sensitive capabilityduplicate_objectno sensitive capabilityexecute_blender_codeno sensitive capability
Show 45 more tools ↓
export_modelno sensitive capabilitygenerate_collision_meshno sensitive capabilitygenerate_hunyuan3d_modelno sensitive capabilitygenerate_hyper3d_model_via_imagesno sensitive capabilitygenerate_hyper3d_model_via_textno sensitive capabilitygenerate_lod_chainno sensitive capabilitygenerate_trellis2_modelno sensitive capabilityget_hunyuan3d_statusno sensitive capabilityget_hyper3d_statusno sensitive capabilityget_node_graphno sensitive capabilityget_object_infono sensitive capabilityget_polyhaven_categoriesno sensitive capabilityget_polyhaven_statusno sensitive capabilityget_scene_infono sensitive capabilityget_sketchfab_model_previewno sensitive capabilityget_sketchfab_statusno sensitive capabilityget_trellis2_statusno sensitive capabilityget_viewport_screenshotno sensitive capabilityimport_generated_assetno sensitive capabilityimport_generated_asset_hunyuanno sensitive capabilityimport_modelno sensitive capabilitylist_node_typesno sensitive capabilitymanage_actionsno sensitive capabilitymanage_armatureno sensitive capabilitymanage_collectionsno sensitive capabilitymanage_constraintsno sensitive capabilitymanage_materialsno sensitive capabilitymanage_nlano sensitive capabilitymanage_physicsno sensitive capabilitymanage_shape_keysno sensitive capabilitymanage_weightsno sensitive capabilitymesh_operationno sensitive capabilitymodify_objectno sensitive capabilitypoll_hunyuan_job_statusno sensitive capabilitypoll_rodin_job_statusno sensitive capabilityrender_sceneno sensitive capabilitysearch_polyhaven_assetsno sensitive capabilitysearch_sketchfab_modelsno sensitive capabilityset_camerano sensitive capabilityset_keyframeno sensitive capabilityset_textureno sensitive capabilityset_viewport_shadingno sensitive capabilitytransform_objectno sensitive capabilityuv_operationno sensitive capabilityvolume_operationno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (55 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 |
|---|---|---|---|---|
v1.0.0 latest |
A 95/100 | 0 | 1.8.0 | 2026-07-23 |
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 blender-copilot --online --registry pypiMore in Developer Tools
Security scan results for the 1stay MCP server.
Security scan results for the Adguard Home MCP server.
Security scan results for the Ado Browser MCP server.
Security scan results for the Adobe Experience Dev MCP server.
Security scan results for the Aemet MCP server.
Security scan results for the Affinity Mcp Bridge MCP server.