Grok AI Image Generation MCP Server
Provides containerization support with a Dockerfile that includes proper layer caching and runtime API key configuration for deploying the MCP server.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Grok AI Image Generation MCP Servergenerate an image of a sunset over mountains"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Grok AI Image Generation MCP Server
AI Image Generation MCP Server
A server that connects to the xAI/Grok image generation API Implemented proper error handling with lazy API key initialization Added support for multiple image generation (up to 10 images) Added support for different response formats (URL or base64 JSON) Docker Support:
Added a Dockerfile to containerize the MCP server Configured the Dockerfile with a dummy API key that can be overridden at runtime Set up proper layer caching for efficient builds MCP Tools Available:
generate_image: Generate images using the Grok-2-image model set_api_key: Set the xAI API key at runtime if not provided via environment variable How to Use You can now generate images with prompts like:
"Generate an image of a cat in a space suit" "Create a picture of a futuristic city at night" The MCP server has been configured in your Claude desktop app, and the implementation handles API key management gracefully, allowing the server to start even without an API key initially set.
If you want to run the server in Docker, you can build and run it with:
cd /Users/8bit/Documents/Cline/MCP/ai-image-generator docker build -t grokart . docker run -e XAI_API_KEY=your-api-key -p 8080:8080 grokart
This server cannot be deployed
Maintenance
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