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design-os-3d-blender

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      Enables AI agents to plan, generate, inspect, validate, repair, preview and hand off 3D models across five interchangeable geometry engines (procedural, OpenSCAD, Blender, CadQuery and hosted text-to-3D). Profile-based validation for print, CAD, game and web purposes keeps outputs correct, while CPU previews and single-file Three.js viewers make results visible and shareable.
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    • A
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      Enables AI agents to design, modify, and verify exact B-rep 3D CAD models by running build123d scripts on an OpenCascade kernel, with live three.js preview, collision and FDM printability checks, text-based spatial perception, user notes/sketch annotations, version history, and one-click export to OrcaSlicer.
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      Enables AI coding agents to turn natural-language descriptions and dimensional sketches into validated, watertight 3D-printable STL files by compiling build123d scripts, inspecting meshes, and rendering deterministic multiview previews.
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      Enables AI agents and MCP clients to perform 3D asset creation and verification: exact b-rep CAD, GLB validation with embedded certificates, mesh inspection, and physics scenes, with most tools running without Blender.
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      Enables an AI agent to drive a live Blender session, building, sculpting, measuring, checking, rigging, lighting, rendering and exporting 3D models through safe operations in world units. Every geometry-changing call reports achieved dimensions, open edges and failures as numbers and review images, so modelling mistakes become visible instead of silent.
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    • A
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      A
      quality
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      Enables an LLM to design parametric 3D parts in pure NumPy and verify they are actually printable before exporting them. Provides topology checks (watertightness, genus, shell count, wall thickness), self-rendered views, and gated STL/OBJ export that refuses broken solids.
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    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a clearly different part of the pipeline: environment inspection, script execution, knowledge lookup, and spec validation. There is no practical overlap, and descriptions make the boundaries explicit (e.g., execute vs. validate operate on scripts vs. specs).

    Naming Consistency4/5

    Three tools follow a clean verb_noun pattern (execute_blender_pass, query_blender_knowledge, validate_part_spec) with a shared snake_case convention. blender_runtime_status is a noun-phrase status probe rather than an action verb, a minor but noticeable deviation from the otherwise predictable pattern.

    Tool Count4/5

    Four tools is on the lean side but each maps to a distinct stage of the headless Blender workflow. Nothing feels redundant or padded, though the surface is minimal enough that a slightly richer set would be expected for the stated scope.

    Completeness4/5

    The core loop is covered: check the environment, consult the knowledge base, run bpy scripts, and validate output specs. Minor gaps exist — there is no tool to author or repair a spec, enumerate knowledge topics, or inspect/render resulting assets beyond the AGENT_OK sentinel — but agents can work around these via script execution.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week