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sato942/game-asset-mcp

2D and 3D game assets from text, using Hugging Face models

装之前:没有可直接复制的命令 · 许可证未标注 · 链接可访问

第一步:git clone https://github.com/yourusername/game-asset-mcp.git

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网

我们没有从该仓库取到可核对的安装命令,也没有公开的远端端点。这两样都没有时,我们不出配置——编一条出来比不给更糟。 各客户端的接法 →

来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# Project owner will look into this repository soon, expect an update in JUNE 20

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

# Game Asset Generator using MCP and Hugging Face Spaces
This project is an innovative tool that simplifies game asset creation by leveraging AI-powered generation. Whether you're a game developer seeking rapid prototypes or an AI enthusiast exploring generative models, this tool enables you to create 2D and 3D game assets from text prompts effortlessly. It integrates AI models from Hugging Face Spaces—powered by "gokaygokay/Flux-2D-Game-Assets-LoRA", "gokaygokay/Flux-Game-Assets-LoRA-v2", and one of three 3D model generation spaces (InstantMesh, Hunyuan3D-2, or Hunyuan3D-2mini-Turbo, which you must duplicate to your account)—and uses the Model Context Protocol (MCP) for seamless interaction with AI assistants like Claude Desktop.
## Table of Contents
1. Project Overview
2. Features
3. How It Works
4. Prerequisites
5. Installation
6. Usage
7. Configuration
8. File Management
9. MCP Integration
10. Troubleshooting
11. Advanced
12. Contributing
13. License
## Project Overview
The Game Asset Generator (version 0.3.0) harnesses AI to streamline the creation of game assets. It supports generating 2D assets (e.g., pixel art sprites) and 3D assets (e.g., OBJ and GLB models) from text prompts, integrating with Hugging Face Spaces and the Model Context Protocol (MCP). This release introduces support for multiple 3D model generation spaces—InstantMesh, Hunyuan3D-2, and Hunyuan3D-2mini-Turbo—offering flexibility and enhanced performance. Built with Node.js and the MCP TypeScript SDK (v1.7.0), it provides a robust, cross-platform solution for asset generation.
## Features
2D Asset Generation: Create pixel art, sprites, or other 2D assets from text prompts (e.g., "pixel art sword").
3D Asset Generation: Generate 3D models (OBJ and GLB formats) from text descriptions, with automatic image-to-model conversion.
Multiple 3D Model Spaces: Supports InstantMesh, Hunyuan3D-2, and Hunyuan3D-2mini-Turbo for varied 3D generation workflows.
MCP Integration: Seamlessly interact with the tool via MCP-compatible clients like Claude Desktop.
File Management: Automatically saves and organizes assets in a local assets directory with resource URIs (e.g., asset://{type}/{id}).
Robust Input Validation: Uses Zod for secure and reliable input processing.
Multi-Client Support: Handles multiple simultaneous connections via SSE transport.
Secure Remote Access: Optional HTTPS support for safe remote communication.
Extensible Backend: Modular design for easy integration of new models or features.
Cross-Platform: Compatible with Windows, macOS, and Linux using Node.js.
Configurable 3D Generation: Customize parameters like inference steps, guidance scale, and turbo mode via environment variables.
## How It Works
The Game Asset Generator transforms text prompts into game-ready assets through an automated pipeline:
1. User Input: Submit a text prompt (e.g., "pixel art sword" or "isometric 3D castle").
2. MCP Server: Routes the prompt to the appropriate tool (generate2dasset or generate3dasset).
3. AI Model Interaction:
2D Assets: Utilizes the Hugging Face Inference API with "gokaygokay/Flux-2D-Game-Assets-LoRA" (50 steps).
3D Assets:
Generates an initial image using "gokaygokay/Flux-Game-Assets-LoRA-v2" (30 steps).
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来源
awesome · https://github.com/sato942/game-asset-mcp
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