@mcpflow.io/mcp-everart v1.0.2

EverArt

此包由 MCPFlow 打包并发布到npm仓库。

使用各种模型进行人工智能图像生成。

安装与使用

直接使用npx运行:

npx @mcpflow.io/mcp-everart

或者先安装后使用:

# 安装
npm install @mcpflow.io/mcp-everart

# 使用
npx @mcpflow.io/mcp-everart

使用方法

请参考原始仓库的使用说明。

工具函数

generate_image

参数:

原始信息

• 开发者: modelcontextprotocol
• 版本: 1.0.0
• 许可证: MIT License
• 原始仓库: modelcontextprotocol/servers/tree/main/src/everart

原始README

EverArt MCP Server

Image generation server for Claude Desktop using EverArt's API.

Install

npm install
export EVERART_API_KEY=your_key_here

Config

Add to Claude Desktop config:

Docker

{
  "mcpServers": {
    "everart": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "EVERART_API_KEY", "mcp/everart"],
      "env": {
        "EVERART_API_KEY": "your_key_here"
      }
    }
  }
}

NPX

{
  "mcpServers": {
    "everart": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-everart"],
      "env": {
        "EVERART_API_KEY": "your_key_here"
      }
    }
  }
}

Tools

generate_image

Generates images with multiple model options. Opens result in browser and returns URL.

Parameters:

{
  prompt: string,       // Image description
  model?: string,       // Model ID (default: "207910310772879360")
  image_count?: number  // Number of images (default: 1)
}

Models:

• 5000: FLUX1.1 (standard)
• 9000: FLUX1.1-ultra
• 6000: SD3.5
• 7000: Recraft-Real
• 8000: Recraft-Vector

All images generated at 1024x1024.

Sample usage:

const result = await client.callTool({
  name: "generate_image",
  arguments: {
    prompt: "A cat sitting elegantly",
    model: "7000",
    image_count: 1
  }
});

Response format:

Image generated successfully!
The image has been opened in your default browser.

Generation details:
- Model: 7000
- Prompt: "A cat sitting elegantly"
- Image URL: https://storage.googleapis.com/...

You can also click the URL above to view the image again.

Building w/ Docker

docker build -t mcp/everart -f src/everart/Dockerfile .