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everart-forge-mcp

MCP.Pizza Chef: nickbaumann98

EverArt Forge MCP is a powerful Model Context Protocol server designed for Cline, enabling AI-driven generation of vector (SVG) and raster images (PNG, JPEG, WebP). It supports multiple AI models for diverse styles, automatic SVG optimization, flexible storage options, and seamless integration with web projects, making it ideal for scalable graphics like logos and icons as well as high-quality image processing.

Use This MCP server To

Generate scalable SVG logos and icons with AI vector models Create high-quality raster images in PNG, JPEG, or WebP formats Optimize SVG files automatically for web and print use Customize output paths and filenames for image storage Integrate AI-generated images directly into web development projects Convert between vector and raster image formats seamlessly Use multiple AI models to produce diverse artistic image styles Automatically create directories for organized image output

README

EverArt Forge MCP for Cline

EverArt Forge MCP

An advanced Model Context Protocol (MCP) server for Cline that integrates with EverArt's AI models to generate both vector and raster images. This server provides powerful image generation capabilities with flexible storage options and format conversion.

Features

  • Vector Graphics Generation

    • Create SVG vector graphics using Recraft-Vector model
    • Automatic SVG optimization
    • Perfect for logos, icons, and scalable graphics
  • Raster Image Generation

    • Support for PNG, JPEG, and WebP formats
    • Multiple AI models for different styles
    • High-quality image processing
  • Flexible Storage

    • Custom output paths and filenames
    • Automatic directory creation
    • Format validation and extension handling
    • Web project integration

Available Models

  • 5000:FLUX1.1: Standard quality, general-purpose image generation
  • 9000:FLUX1.1-ultra: Ultra high quality for detailed images
  • 6000:SD3.5: Stable Diffusion 3.5 for diverse styles
  • 7000:Recraft-Real: Photorealistic style
  • 8000:Recraft-Vector: Vector art style (SVG output)

Installation

  1. Clone the repository:

    git clone https://github.com/nickbaumann98/everart-forge-mcp.git
    cd everart-forge-mcp
  2. Install dependencies:

    npm install
  3. Build the project:

    npm run build
  4. Get your EverArt API key:

    • Sign up at EverArt
    • Navigate to your account settings
    • Create or copy your API key
  5. Add the server to your Cline MCP settings file:

    For VS Code Extension:
    Edit ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json:

    {
      "mcpServers": {
        "everart-forge": {
          "command": "node",
          "args": ["/absolute/path/to/everart-forge-mcp/build/index.js"],
          "env": {
            "EVERART_API_KEY": "your_api_key_here"
          },
          "disabled": false,
          "autoApprove": []
        }
      }
    }

    For Claude Desktop App:
    Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or appropriate location for your OS

  6. Restart Cline to load the new MCP server

Usage Examples

Once configured, you can use Cline to generate images with prompts like:

  • "Generate a minimalist tech logo in SVG format using the Recraft-Vector model"
  • "Create a photorealistic landscape image with the FLUX1.1-ultra model"
  • "Make me a vector icon for my project that represents artificial intelligence"
  • "Generate a professional company logo as an SVG file and save it to my desktop"

Tool Capabilities

The server provides these tools:

generate_image

Generate images with extensive customization options:

Parameters:
- prompt (required): Text description of desired image
- model: Model ID (5000:FLUX1.1, 9000:FLUX1.1-ultra, 6000:SD3.5, 7000:Recraft-Real, 8000:Recraft-Vector)
- format: Output format (svg, png, jpg, webp)
- output_path: Custom output path for the image
- web_project_path: Path to web project root for proper asset organization
- project_type: Web project type (react, vue, html, next, etc.)
- asset_path: Subdirectory within the web project assets
- image_count: Number of images to generate (1-10)

Notes:

  • SVG format is only available with Recraft-Vector (8000) model
  • Default format is "svg" for model 8000, "png" for others
  • You can specify combined model IDs (e.g., "8000:Recraft-Vector")
list_images

List all previously generated images stored by the server.

view_image

Open a specific image in the default image viewer:

Parameters:
- filename: Name of the image file to view

Troubleshooting

  • Error: Invalid model ID: Make sure you're using one of the supported model IDs (5000, 6000, 7000, 8000, 9000)
  • Format not compatible with model: SVG format is only available with Recraft-Vector (8000) model
  • Image not found: Use the list_images tool to see available images
  • API authentication failed: Check your EverArt API key
  • Images not appearing: Check file permissions and paths

License

MIT License - see LICENSE file for details.

everart-forge-mcp FAQ

How does EverArt Forge MCP optimize SVG files?
It uses built-in automatic SVG optimization to reduce file size and improve rendering efficiency.
Can I specify custom storage locations for generated images?
Yes, the server supports custom output paths and automatic directory creation for flexible storage.
What image formats does EverArt Forge MCP support?
It supports vector SVG and raster formats including PNG, JPEG, and WebP.
Are multiple AI models available for different image styles?
Yes, it includes models like 5000:FLUX1.1 for standard quality and 9000:FLUX1.1-ultra for ultra-high quality images.
Is EverArt Forge MCP compatible with web projects?
Yes, it is designed for seamless integration with web development workflows.
Does the server handle format validation and extension management?
Yes, it validates image formats and manages file extensions automatically.
Can EverArt Forge MCP generate both vector and raster images?
Yes, it supports AI-powered generation of both SVG vector graphics and raster images.
How does this MCP server enhance image generation workflows?
By automating image creation, optimization, and storage, it streamlines development and design processes.