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oddyseex

Blender MCP Bridge

by oddyseex

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to inspect and control a live Blender session through MCP tools that create, modify, and delete objects, apply materials, render images, execute Python, and pull PolyHaven assets over a local TCP add-on. It also exposes a provider-agnostic LLM layer that can be pointed at Ollama, LM Studio, llama.cpp, OpenAI-compatible, or Azure endpoints and switched at runtime.
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    • 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
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to drive a live Blender session over MCP by inspecting scenes, creating and modifying objects, assigning materials, rendering images, and fetching PolyHaven assets. It also exposes prompt-based scene building and review workflows backed by a provider-agnostic LLM layer (Ollama, LM Studio, llama.cpp, OpenAI-compatible endpoints, Azure) that can be switched at runtime.
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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to drive a live Blender session over MCP — inspecting scenes, creating and modifying objects, applying materials, rendering, and pulling PolyHaven assets — while routing natural-language prompts through a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible endpoints, or Azure) that can be switched at runtime.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to drive a live Blender session over MCP — inspecting scenes, creating, modifying and deleting objects, applying materials, rendering images, importing PolyHaven assets, and executing code — while routing prompts through a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be switched at runtime.
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