Frequently Asked Questions about MCP Storybook Image Generator

Q: What is the MCP Storybook Image Generator? A: It’s a server that uses Google’s Gemini AI to generate storybook images and matching children’s stories, built on the Model Context Protocol (MCP) SDK.

Q: What are the prerequisites for using the generator? A: You need Node.js (v14 or higher), a Google Gemini API key, and TypeScript.

Q: How do I install the MCP Storybook Image Generator? A: First, install the dependencies using npm install. Then, configure your environment by creating a .env file and setting your Gemini API key. Finally, build the project with npm run build.

Q: Can I use the generator directly from the command line? A: Yes, you can use the command-line interface (CLI) with options to set the API key, save files to the desktop, enable debug logging, and display help information.

Q: How do I integrate this server with Claude Desktop? A: Locate the Claude Desktop configuration file and add the provided JSON configuration to define the command, arguments, and environment variables.

Q: What art styles are available for image generation? A: You can choose from 3D cartoon, watercolor, pixel art, hand drawn, or claymation styles.

Q: Where are the generated files saved? A: The files are saved to either your desktop in a folder called “storybook-images” (if SAVE_TO_DESKTOP=true) or the server’s directory in a folder called “storybook-images”.

Q: What environment variables can I configure? A: You can configure GEMINI_API_KEY, SAVE_TO_DESKTOP, and DEBUG.

Q: What output files does the generator produce? A: It produces a PNG image, a text file containing the story, and an HTML preview combining both.

Q: Is this an open-source project? A: Yes, contributions, issues, and feature requests are welcome!

Q: Can I use UBOS with the MCP Storybook Image Generator? A: Yes! The MCP Storybook Image Generator can be integrated seamlessly into the UBOS full-stack AI Agent Development Platform. UBOS helps orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems. UBOS makes it even more powerful by allowing you to incorporate it into a broader range of AI-driven workflows.