S
sato942/game-asset-mcp
2D and 3D game assets from text, using Hugging Face models
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
We have neither an install command nor a public remote endpoint from this repository, so we do not print a config. A made-up one is worse than none. How each client wires MCP up →
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
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first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# 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).
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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