Blender Mcp Enhanced MCP Server
blender-mcp-enhanced
PyPI
v1.3.3
Published by zachhandley — 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.
Enhanced Blender integration through MCP with shared context, geometry nodes, and advanced tool chaining
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 − 4 = 96. 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 |
| −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.
Findings 0
Tools 30
Each tool and what it can reach — statically extracted from the published source.
download_polyhaven_assetingests untrusted inputdownload_sketchfab_modelingests untrusted inputclear_context_scriptsno sensitive capabilityclear_shared_contextno sensitive capabilitycomplete_geometry_nodeno sensitive capabilitycreate_material_handleno sensitive capabilitycreate_object_handleno sensitive capabilityexecute_blender_codeno sensitive capabilityexecute_context_scriptno sensitive capabilitygenerate_hyper3d_model_via_imagesno sensitive capability
Show 20 more tools ↓
generate_hyper3d_model_via_textno sensitive capabilityget_geometry_nodes_statusno sensitive capabilityget_hyper3d_statusno sensitive capabilityget_object_infono sensitive capabilityget_operation_historyno sensitive capabilityget_polyhaven_categoriesno sensitive capabilityget_polyhaven_statusno sensitive capabilityget_scene_infono sensitive capabilityget_shared_contextno sensitive capabilityget_sketchfab_statusno sensitive capabilityget_viewport_screenshotno sensitive capabilityimport_generated_assetno sensitive capabilitylist_context_scriptsno sensitive capabilitylist_material_handlesno sensitive capabilitylist_object_handlesno sensitive capabilitypoll_rodin_job_statusno sensitive capabilityregister_context_scriptno sensitive capabilitysearch_polyhaven_assetsno sensitive capabilitysearch_sketchfab_modelsno sensitive capabilityset_textureno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (30 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 |
|---|---|---|---|---|
v1.3.3 latest |
A 96/100 | 0 | 1.13.0 | 2026-08-25 |
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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