AI Image Generation Server with MCP Interface

AI Image Generation Server with MCP Interface

By aymec GitHub

This project provides an HTTP server for image generation using Stable Diffusion, along with a Model Context Protocol (MCP) server that enables AI agents to request image generation.

image-gen AI
Overview

What is AI Image Generation Server with MCP Interface?

This project provides an HTTP server for image generation using Stable Diffusion, along with a Model Context Protocol (MCP) server that enables AI agents to request image generation.

How to use the project?

To use the AI Image Generation Server, set up a virtual environment, install the required packages, and run the server. You can generate images by sending POST requests to the server with specific prompts.

Key features of the project?

  • Integrated image generation using Stable Diffusion.
  • Model Context Protocol (MCP) for AI agents.
  • Direct API access for image generation.
  • FastMCP Inspector for testing and debugging.

Use cases of the project?

  1. Generating images based on textual prompts for creative projects.
  2. Integrating with AI agents for automated image generation.
  3. Testing and debugging image generation requests using the FastMCP Inspector.

FAQ from the project?

  • Can I use this server for any type of image generation?

Yes! You can generate images based on any textual prompt you provide.

  • Is there a web interface for testing?

Yes! The FastMCP Inspector provides a web interface for testing and debugging.

  • How do I stop the server?

You can stop the server by using Ctrl+C in the terminal.

Overview

What is AI Image Generation Server with MCP Interface?

This project provides an HTTP server for image generation using Stable Diffusion, along with a Model Context Protocol (MCP) server that enables AI agents to request image generation.

How to use the project?

To use the AI Image Generation Server, set up a virtual environment, install the required packages, and run the server. You can generate images by sending POST requests to the server with specific prompts.

Key features of the project?

  • Integrated image generation using Stable Diffusion.
  • Model Context Protocol (MCP) for AI agents.
  • Direct API access for image generation.
  • FastMCP Inspector for testing and debugging.

Use cases of the project?

  1. Generating images based on textual prompts for creative projects.
  2. Integrating with AI agents for automated image generation.
  3. Testing and debugging image generation requests using the FastMCP Inspector.

FAQ from the project?

  • Can I use this server for any type of image generation?

Yes! You can generate images based on any textual prompt you provide.

  • Is there a web interface for testing?

Yes! The FastMCP Inspector provides a web interface for testing and debugging.

  • How do I stop the server?

You can stop the server by using Ctrl+C in the terminal.

No tools information available.

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