How does this differ from using an image editor or AI image generation?
It provides deterministic, configurable PNG generation via simple text prompts – ideal for rapid prototyping placeholder assets without manual design or generative AI overhead.
@crony-io
基本信息
An MCP (Model Context Protocol) server that generates advanced mock 2D PNG assets for games prototypes — directly from any MCP-compatible AI client such as Claude Desktop.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"2d-assets": {
"args": [
"-y",
"2d-assets-mcp"
],
"command": "npx",
"disabled": false
}
}
}Generates a single advanced custom mock 2D PNG asset (supports gradients, patterns, text rotation, transparency, and auto-scaling) for game prototypes. Embeds JSON metadata into the PNG (dimensions, color, shape, description) readable by read_image_metadata.
Generates multiple mock 2D PNG assets at once. Can create individual files, a spritesheet, Each PNG has embedded JSON metadata readable by read_image_metadata.
Reads the embedded JSON metadata from a PNG file generated by this MCP server. Returns the metadata object with dimensions, color, shape, description, etc.
An MCP server that generates advanced mock 2D PNG assets for game prototypes directly from any MCP-compatible AI client like Claude Desktop. It is engine-agnostic, supporting Godot, Unity, Unreal Engine, GameMaker, and more. Designed for developers to create placeholder sprites, UI elements, health bars, and spritesheets without opening an image editor.
Install via npx (no install: add {"command": "npx", "args": ["-y", "2d-assets-mcp"]} to your MCP client config) or install globally with npm/pnpm. Three tools are provided: generate_mock_asset, generate_mock_asset_batch, and read_image_metadata. Invoke by describing assets in natural language (e.g., “Create a 128×128 blue rounded-rectangle placeholder…”).
fillPercent and trackColor.fontSize.player_idle_128x128.png).It provides deterministic, configurable PNG generation via simple text prompts – ideal for rapid prototyping placeholder assets without manual design or generative AI overhead.
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