EverArt MCP server

The EverArt MCP Server enables image generation capabilities for Claude Desktop by connecting to EverArt's API. It allows you to generate images directly from Claude using various AI models.

Installation

You can install and use the EverArt MCP Server in multiple ways. Choose the method that works best for your setup.

Basic Installation

To install the package:

npm install
export EVERART_API_KEY=your_key_here

Configuration

To use the server with Claude Desktop, you need to add it to your Claude Desktop configuration file.

Docker Configuration

Add this to your Claude Desktop config to use the Docker version:

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

NPX Configuration

Alternatively, you can use NPX with this configuration:

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

Usage

Generating Images

The server provides a generate_image tool that creates images based on your text prompts. When used, it opens the resulting image in your browser and returns the URL.

Parameters

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

Available Models

You can choose from several AI models:

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

All images are generated at 1024x1024 resolution.

Example Usage

Here's how to call the tool from your client:

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

Response Format

When successful, you'll receive a response like:

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.

Using Docker

If you prefer to build the Docker image yourself:

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

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.