a year ago
research-and-dataModel Context Protocol (MCP) server enabling AI clients (Cline, Claude Desktop) to generate images using OpenAI (DALL-E 3, gpt-image-1) and save them directly to the user's project directory.
Overview
What is Image Generation MCP Server?
Image Generation MCP Server is a Model Context Protocol (MCP) server that enables AI clients to generate images using OpenAI's models like DALL-E 3 and gpt-image-1, saving them directly to the user's project directory.
How to use Image Generation MCP Server?
To use the server, clone the repository, install dependencies, build the server, and configure your MCP client to connect to it. Use the create_image tool to generate images based on text prompts.
Key features of Image Generation MCP Server?
- Generates images from text prompts using OpenAI models.
- Supports optional branding guidelines.
- Allows specifying image size and quality.
- Saves generated images to a specified project directory.
- Includes detailed documentation and unit tests.
Use cases of Image Generation MCP Server?
- Creating custom images for projects based on user-defined prompts.
- Integrating image generation into applications for dynamic content creation.
- Assisting designers and developers in visualizing concepts quickly.
FAQ from Image Generation MCP Server?
- What models does the server support?
The server supports OpenAI's DALL-E 3, gpt-image-1, and gpt-image-2 for image generation.
- Do I need an OpenAI API key?
Yes, an OpenAI API key is required to use the server's image generation capabilities.
- Can I run this server in a Docker container?
Yes, the repository includes a Dockerfile for building a container image.