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Ramos03367

Blender Open MCP

by Ramos03367

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to drive a live Blender session over MCP — inspecting and creating scene objects, applying materials, rendering, executing code, and fetching PolyHaven assets. It also exposes prompt, provider, and model tools backed by a provider-agnostic LLM layer (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be switched at runtime.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to control a live Blender session over MCP, creating and modifying objects, applying materials, rendering images, and downloading PolyHaven assets. It also routes prompts to a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be listed and switched at runtime.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to control a live Blender session through MCP tools for scene and object operations, rendering, PolyHaven asset handling, and LLM prompting. Supports multiple configurable and runtime-switchable provider backends, including Ollama, LM Studio, llama.cpp, OpenAI-compatible endpoints, and Azure.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to control a live Blender session, including scene and object operations, rendering, and PolyHaven asset workflows. Supports provider-agnostic LLM backends that can be switched at runtime through MCP tools.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to control a live Blender session through MCP tools for scene and object manipulation, rendering, PolyHaven asset search/download/texturing, and guided scene workflows, while allowing runtime switching between local or OpenAI-compatible LLM providers.
      -
    • 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