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Alternatives to dcc-mcp-blender

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Connects MCP-compatible clients to a live Blender scene for AI-assisted 3D workflows, enabling inspection and controlled operations on objects, materials, cameras, lights, render settings, animation, UVs, Geometry Nodes, imports, exports, and Python execution.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables LLM clients like Claude to control Blender remotely, including scene inspection, object creation/modification, and Python code execution, via a socket-based MCP server.
      187 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to drive a live Blender session over MCP by creating and transforming primitives, building and assigning materials, inspecting scenes and objects, capturing viewport screenshots, and executing arbitrary bpy Python. Commands are relayed over a local TCP bridge to a Blender add-on and executed on Blender's main thread, supporting multiple simultaneous AI clients.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that enables AI assistants like Codex or ChatGPT to inspect and control a local Blender scene, including creating objects, editing materials, setting cameras and lights, rendering previews, and saving safe copies of .blend files.
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.
      15
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      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