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mcp-3d-modeling-agent

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      B
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      MCP server for procedural 3D synthetic-data generation in Blender, providing 33 grounded tools for node graph authoring, scene-graph traversal, and parameter sweeps with schema verification.
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    • A
      license
      B
      quality
      D
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      An MCP server that enables AI models to directly control Blender for 3D modeling, scene manipulation, and material management through natural language. It supports advanced workflows including Python code execution, viewport visualization, and integration with external asset libraries like Poly Haven and Hyper3D.
      22
      1
      MIT

    TDQS

    B3/5.0

    Scored across 218 tools

    Disambiguation2/5

    The set contains several near-duplicate tools that make agent selection hard: blender_refine_iteration and blender_ai_refine both describe the same render-evaluate-suggest loop, and blender_ai_list_backends overlaps heavily with blender_ai_probe_backends. Many workflows also have two parallel implementations (e.g., blender_scatter_on_surface vs blender_geonode_scatter_instances), so boundaries are often unclear even when individual descriptions are good.

    Naming Consistency4/5

    Most tools follow a clear blender_<domain>_<action> or blender_<domain>_<noun> snake_case pattern, which makes large chunks like blender_object_*, blender_mesh_*, and blender_msfs_* predictable. Deviations exist (blender_undo, blender_save, blender_silhouette_compare, blender_mesh_proportional_transform, blender_sculpt_to_retopo), but they are few compared to the 218-tool surface.

    Tool Count1/5

    218 tools is an extreme count for any MCP server, far beyond the threshold where a toolset becomes unwieldy. The surface tries to cover entire Blender plus MSFS and AI pipelines in one server, making discovery and selection expensive for agents.

    Completeness4/5

    The domain coverage is impressively broad: object/scene lifecycle, mesh editing, materials, animation, rendering, physics, rigging, sculpting, baking, geometry nodes, and MSFS-specific workflows are all present. Minor gaps exist (no material_delete, no constraint_remove, no individual object visibility toggle, no render samples/output settings), but agents can often work around them via blender_execute_script.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues