MCP server for agentic game-asset generation: reference images to 3D models with PBR textures, plus retexturing meshes you already own.
An MCP server that lets an AI agent produce game-ready 3D assets end to end — reference image, mesh, PBR textures, provenance — and retexture meshes you already own.
Most asset-generation tooling stops at "type a prompt, get a mesh". That is the easy half. The half that actually blocks a project is the mesh you already have: the kitbash you modelled last week, the marketplace prop whose materials are wrong for your art direction, the greybox that needs to look like corroded steel by Friday. textureexistingasset takes a mesh you supply and gives it new PBR materials without regenerating the geometry you already approved.
Everything is recorded. Every job keeps the prompt, the seed, the provider model version, the provider task id, and a SHA-256 for every downloaded byte — so six months from now you can still answer "what produced this file?"
The server is provider-agnostic by construction. Today it drives Tripo for 3D and Leonardo.Ai for reference images and sound effects, behind three small interfaces (ImageProvider, Model3DProvider, AudioProvider). Adding a provider does not change the tool surface. See docs/architecture.md for why it is built this way.
- Node.js = 18.17 — the server uses global fetch, FormData, Blob and AbortController. - No native modules, no build toolchain, no database. It runs anywhere Node runs. - Optional: a local Blender 4.x+ install enables normalizemesh. Every other tool works without it; the tool refuses with instructions when it is absent. On macOS Blender is not on PATH, so set BLENDERPATH or rely on the bundled /Applications/Blender.app d
From the project README.
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Drop a full augmented-reality studio into any web page. Place any number of 3D models in your real room through the camera, generate new ones from a text prompt, arrange them, then share the scene as
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