IA 3D
metashape-mcp
AI-driven photogrammetry: control Metashape over MCP.
★ 34 estrelasMIT
Ver o guia →mcp-for-blender é um projeto de IA 3D de código aberto de ahujasid (ahujasid/mcp-for-blender no GitHub). Tem 30.247 estrelas no GitHub e 2.739 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 6 de outubro de 2026.
Control Blender with natural language: an MCP plugin that lets any LLM model, light and animate in 3D
Decide what you want to achieve with mcp-for-blender and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
Ask your LLM to create, move, scale and modify objects in the live Blender scene.
The agent can work with materials, lights and scene settings, not just geometry.
Documented setup for Claude for Desktop, Codex, Cursor, VS Code and OpenCode.
Installer scripts for macOS, Linux and Windows (PowerShell) handle the add-on and server wiring.
Can also run the server side with Docker if you prefer containers.
Connection and behavior are tunable through documented environment variables.
Get the plugin source and setup scripts.
git clone https://github.com/ahujasid/mcp-for-blender.git
cd mcp-for-blenderInstall uv first (see README), then install the MCP server with pipx.
pipx install mcp-for-blenderAdd the server to your client (Claude for Desktop, Cursor, VS Code, Codex or OpenCode) using the README's config for that client, enable the Blender add-on, and prompt your first scene.
# copy the MCP config snippet for your client from the README's 'MCP Client Setup' sectionOne project here serves the people rather than the pipeline: ARIS-in-AI-Offer collects bilingual AI interview cheat sheets and a fact-checked academic homepage builder. Also on this shelf: openfoodfacts-ai — the tracking hub for all of Open Food Facts AI projects. For a different angle on this shelf, ComfyUI-TD streams ComfyUI output live into TouchDesigner.
mcp-for-blender is maintained by the ahujasid organization/account on GitHub, together with open-source contributors, in the public repository ahujasid/mcp-for-blender.
Yes — the code is open source under the MIT license. You can use, modify and redistribute it under that license's terms.
The plugin is free; you need an MCP-capable LLM client — a Claude subscription, Cursor plan or an API key for whichever assistant you connect.
Scripting is precise but you must write the code; MCP for Blender lets you direct the same Blender session conversationally, then refine by hand.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
AI-driven photogrammetry: control Metashape over MCP.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.