Frequently Asked Questions (FAQ) about MCP Server for OpenAI

Q: What is the MCP Server for OpenAI? A: The MCP (Model Context Protocol) Server for OpenAI is a tool that allows AI models to use OpenAI’s image generation and editing APIs (GPT-4o/gpt-image-1). It acts as a bridge, enabling AI models to create and modify images based on text prompts.

Q: What are the key features of the MCP Server? A: The key features include:

• Generating images from text prompts.
• Editing images using prompts and masks (inpainting, outpainting).
• Supporting various clients like Claude Desktop, Cursor, and VSCode.
• Saving generated images to disk or returning them as base64 data.

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It allows AI models to access and interact with external data sources and tools in a structured and reliable manner.

Q: How do I install the MCP Server? A: You can install the MCP Server by cloning the GitHub repository, installing dependencies using yarn, and building the project. Detailed instructions are provided in the repository’s README file.

Q: How do I configure the MCP Server? A: Add the MCP server configuration to your Claude Desktop or VSCode settings, specifying the command to run the server and your OpenAI API key. Example configuration:

{ “mcpServers”: { “openai-gpt-image-mcp”: { “command”: “node”, “args”: [“/absolute/path/to/dist/index.js”], “env”: { “OPENAI_API_KEY”: “sk-…” } } } }

Q: What is the purpose of the OpenAI API key? A: The OpenAI API key is used to authenticate your requests to OpenAI’s image generation and editing APIs. You need a valid API key to use the MCP Server.

Q: How many images can I generate at once? A: You can generate up to 10 images at once by setting the n parameter in the create-image request.

Q: What is a mask image and how is it used? A: A mask image is used to control where edits are applied when editing images. You can provide a mask image (file path or base64) to specify which areas of the image should be modified.

Q: Where are generated images saved? A: Generated images can be saved to disk or returned as base64 data. If you don’t specify a file_output path, images will be saved to /tmp or the directory set by the MCP_HF_WORK_DIR environment variable.

Q: What do I do if I encounter an ‘Invalid API Key’ error? A: Ensure that your OpenAI API key is valid and has access to the image APIs. Double-check that you have entered the key correctly.

Q: Why do I need a verified OpenAI organization? A: You need a verified OpenAI organization to access the image APIs. After verifying, it can take 15–20 minutes for image API access to activate.

Q: What if I encounter file path issues? A: Ensure that file paths are absolute and that the specified directories are writable. Also, check your image file extensions and formats to ensure they are supported.

Q: What happens if the image size exceeds the 1MB payload limit? A: If the total image size exceeds 1MB, the MCP Server will automatically save images to disk and return the file paths instead of base64 data. This ensures compatibility with MCP clients.

Q: What is UBOS and how does it relate to the MCP Server? A: UBOS is a full-stack AI Agent Development Platform that offers various tools and assets for building AI solutions. The MCP Server for OpenAI is available on the UBOS Asset Marketplace as one of these valuable assets.

Q: Where can I find more information about the available options for image generation and editing? A: Refer to the src/index.ts file in the GitHub repository for a comprehensive list of available options and their descriptions.