About
A lightweight MCP server that lets Claude request image generation from OpenAI’s gpt-image-1 model. Ideal for quickly creating logos, sprites, and other visual assets during game or web development.
Capabilities
Overview
The mcp‑asset‑gen server bridges the gap between conversational AI assistants and visual content creation by delegating image generation to OpenAI’s powerful model. In practice, a developer can ask Claude to produce a logo, sprite sheet, or any single asset and receive a ready‑to‑use PNG file without leaving the chat interface. This removes the need for manual API calls or UI interactions, allowing designers and developers to iterate on visual concepts directly within the AI workflow.
At its core, the server receives a prompt and optional parameters (quality, size) from Claude, forwards them to OpenAI’s image endpoint, and streams the resulting file path back to the assistant. The image is stored locally on the client machine, so it can be immediately referenced in code or added to a project’s asset pipeline. Because the server runs as a lightweight Node process, it can be integrated into existing Claude configurations with minimal overhead.
Key capabilities include:
- Prompt‑driven generation – Users can describe an asset in natural language, and the server translates that into a precise image request.
- Customizable output – Parameters such as resolution and quality can be tuned to match project constraints (e.g., 1024×1024 for high‑fidelity sprites or smaller thumbnails).
- File system integration – Generated assets are written to a specified path, making them accessible for version control or build scripts.
- Seamless MCP integration – The server exposes a single method, which Claude can call directly as part of its tool‑use workflow.
Typical use cases span game development, web design, and rapid prototyping. A Unity developer might ask for a “pixelated hero sprite with transparent background,” while a web designer could request an SVG‑style icon for a new feature. Because the tool operates within Claude’s conversational context, teams can iterate on visuals while simultaneously discussing mechanics or layout, dramatically speeding up the creative loop.
What sets mcp‑asset‑gen apart is its simplicity and tight coupling to the MCP ecosystem. It eliminates the friction of managing API keys, handling authentication headers, or parsing JSON responses—Claude handles all that. The result is a single, declarative command that yields a tangible asset file ready for integration, making it an invaluable addition to any AI‑augmented development pipeline.
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