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    • A
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      BlenderMCP enables Claude AI to directly interact with and control Blender for prompt-assisted 3D modeling, scene creation, and manipulation. It supports object and material control, scene inspection, and execution of Python code through natural language commands.
      17
      MIT
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      Connects Blender to Claude AI through the Model Context Protocol (MCP), enabling prompt-assisted 3D modeling, scene creation, and manipulation.
      17
      MIT
    • A
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      Connects Blender to Claude AI through the Model Context Protocol (MCP), enabling prompt-assisted 3D modeling, scene creation, and manipulation directly from Claude.
      17
      MIT
    • A
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      Connects Blender to Claude AI through MCP, allowing Claude to directly interact with and control Blender for 3D modeling, scene creation, and manipulation.
      22
      MIT

    TDQS

    C2.9/5.0

    Scored across 71 tools

    Disambiguation2/5

    Many tools overlap heavily: standalone create_collection, list_scenes, clear_scene duplicate operations inside blender_scene; blender_addons and manage_blender_addons are aliases; construct_object and manage_object_construction both build objects from natural language. Agents will struggle to pick the right tool when the same capability is exposed through multiple entry points.

    Naming Consistency2/5

    Naming mixes conventions: verb_noun (create_collection, list_scenes), noun_specific (blender_mesh, blender_scene), generic (config_get, server_info), and verbose portmanteaus (agentic_blender_workflow, intelligent_3d_processing). The blender_ prefix is used inconsistently, and there is no clear predictable pattern across the tool set.

    Tool Count1/5

    71 tools is an extreme count, far exceeding even the 50+ threshold for a mismatch. While many tools consolidate operations via portmanteau patterns, the sheer number of exposed tools overwhelms context windows and makes selection impractical for an agent.

    Completeness5/5

    The set covers an exceptionally broad range of Blender workflows: modeling, animation, rigging, materials, rendering, VSE, sculpt, physics, import/export, AI generation, asset repositories, and platform validation. Despite some missing micro-features (e.g., explicit file save), the surface is remarkably complete for its stated purpose.

    Maintenance

    ActivityActive
    ResponsivenessSlow