Image Server

What is Image Server?

Image Server is an MCP (Model Context Protocol) server that provides an image generation tool. It uses an English description to generate images matching the context of an article and saves them locally. It is intended for users who need to integrate AI image generation into their MCP-compatible applications.

How to use Image Server?

Install the UV package manager, then configure the MCP client with the image_server entry as shown in the README. The server requires the IMAGE_API_URL environment variable pointing to a Hugging Face Space endpoint (demo API with usage limits). Run the server using uv --directory YourDirectory run image_server.py.

Key features of Image Server

• Generates images from English descriptions.
• Saves generated images to the local filesystem.
• Integrates with the FLUX.1-schnell model via Hugging Face.
• Simple MCP tool interface (image_generation).
• Requires only the UV package manager.

Use cases of Image Server

• Automatically generating illustrations for blog posts or articles.
• Creating visual aids for documentation directly from text prompts.
• Providing AI image generation capabilities within an MCP-based workflow.

FAQ from Image Server

What does the image_generation tool do?

It takes an English description as input, generates an image that matches the context of the description, and saves the image file locally.

What are the dependencies to run Image Server?

The only dependency is the UV package manager, which must be installed separately.

Is the IMAGE_API_URL free to use?

No, the README notes that the provided API is for demonstration purposes only and has usage limitations.

Where are generated images saved?

The README states that images are saved locally (to the local filesystem), but does not specify the exact directory.

Does Image Server require authentication or special transport?

No authentication or special transport is mentioned in the README; it uses the standard MCP configuration with environment variables.