Design · MODEL CONTEXT PROTOCOL
8bitsats Grok MCP
A server that connects to the xAI/Grok image generation API that provides endpoints for text and image analysis using X.AI's Grok models. ## Features - Text analysis using Grok-2 - Image analysis using Grok Vision - Simple REST API interface - Built-in error handling and validation
连接能力
8bitsats Grok MCP 为 AI Agent 提供什么
来源目录未提供结构化功能列表，请在使用前阅读源仓库文档。
安全
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前，请检查代码、环境变量、网络行为、软件包来源与维护状态。
README
仓库文档
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
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