MCP Servers

AWS Nova Canvas MCP Server

An MCP server that allows you to generate and edit images using Amazon Bedrock's Nova Canvas model, supporting features like text-to-image generation, inpainting, outpainting, image variation, and background removal.

Tools

text_to_image

Generate an image from a text prompt. After generation, you can use the show_image tool to view the thumbnail. Args: prompt: Text prompt for generating an image (maximum 1024 characters) negative_prompt: Text prompt for excluding attributes from generation (maximum 1024 characters) height: Image height (pixels) width: Image width (pixels) num_images: Number of images to generate (maximum 4) cfg_scale: Image matching degree for the prompt (1-20) seed: Seed value for image generation open_browser: Whether to open the image in the browser after generation Returns: Dict: Dictionary containing the file path of the generated image and the thumbnail image

inpainting

Inpaint a specific part of an image using a text mask prompt. Args: image_path: File path of the original image prompt: Text prompt for the area to be inpainted mask_prompt: Text prompt for specifying the area to be masked (e.g., "window", "car") negative_prompt: Text prompt for excluding attributes from generation height: Output image height (pixels) width: Output image width (pixels) cfg_scale: Image matching degree for the prompt (1-20) open_browser: Whether to open the image in the browser after generation Returns: Dict: Dictionary containing the file path of the inpainted image

outpainting

Expand the image to create an outpainting. Args: image_path: File path of the original image mask_image_path: File path of the mask image prompt: Text describing the content to be generated in the outpainting area negative_prompt: Text specifying attributes to exclude from generation outpainting_mode: Outpainting mode (DEFAULT or PRECISE) height: Output image height (pixels) width: Output image width (pixels) cfg_scale: Prompt matching degree (1-20) Returns: Dict: Dictionary containing the file path of the outpainted image

image_variation

Generate a new variation of the input image while maintaining its content. Args: image_paths: List of file paths of the original images (1-5) prompt: Text for generating a variation image (optional) negative_prompt: Text specifying attributes to exclude from generation similarity_strength: Similarity between the original image and the generated image (0.2-1.0) height: Output image height (pixels) width: Output image width (pixels) cfg_scale: Prompt matching degree (1-20) Returns: Dict: Dictionary containing the file path of the variation image

image_conditioning

Generate an image that follows the layout and composition of a reference image. Args: image_path: File path of the reference image prompt: Text describing the image to be generated negative_prompt: Text specifying attributes to exclude from generation control_mode: Control mode (CANNY_EDGE, etc.) height: Output image height (pixels) width: Output image width (pixels) cfg_scale: Prompt matching degree (1-20) Returns: Dict: Dictionary containing the file path of the generated image

color_guided_generation

Generate an image using a specified color palette. Args: prompt: Text describing the image to be generated colors: List of color codes (1-10 hex color codes, e.g., "#ff8080") reference_image_path: File path of the reference image (optional) negative_prompt: Text specifying attributes to exclude from generation height: Output image height (pixels) width: Output image width (pixels) cfg_scale: Prompt matching degree (1-20) ctx: MCP context Returns: Dict: Dictionary containing the file path of the generated image

background_removal

Remove the background of an image automatically. Args: image_path: File path of the original image ctx: MCP context Returns: Dict: Dictionary containing the file path of the image with the background removed

show_image

Create a thumbnail of the image and return it. The maximum size is 1048578. Supports URLs or local file paths. Args: image_path: Image URL or local file path width: Output image width (pixels) height: Output image height (pixels) Returns: Image: Thumbnail image

README

<h2 align="center"> AWS Nova Canvas MCP Server </h2>

An MCP server that allows you to generate and edit images using the Nova Canvas model of Amazon Bedrock.

Features

Text to Image
Image Inpainting
Image Outpainting
Image Variation
Image Conditioning
Color Guided Generation
Background Removal
Show Image Thumbnails

Installation

Claude Desktop Setup

Clone the repository

git clone https://github.com/yunwoong/aws-nova-canvas-mcp.git

Configure Claude Desktop
- Click on Claude > Settings from the Claude Desktop menu.
- When the popup appears, select Developer from the left menu, and click the Edit Settings button.
- This will open a folder containing the settings file. The name of this settings file is:
- claude_desktop_config.json

Add the following content to the settings file (Python version):
- python version
```
"nova-canvas": {
  "command": "uv",
  "args": [
    "--directory",
    "Path to clone folder",
    "run",
    "server.py"
  ],
  "env": {
    "AWS_PROFILE": "YOUR_AWS_PROFILE"
  }
}
```
  ✅ Only AWS_PROFILE is required. Other variables like AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION, and PORT are optional and not necessary if your AWS profile is set correctly.
  
  ⚙️ If the setup is completed successfully, you can see that the "nova-canvas" item has been added in Claude > Settings > Developer tab. ⚠️ Important: MCP settings only work on the Claude desktop app, not the Claude web browser version

Image Save Location

By default, all generated or edited images will be saved in the following directory:

macOS / Linux: ~/Desktop/aws-nova-canvas
Windows: C:\Users\YourUsername\Desktop\aws-nova-canvas

📁 If no image save path is specified, the application will automatically create and use the folder above.

Usage Example

Limitations

Prompt text supports up to 1024 characters
Image generation allows up to 3 images at a time
Image variation requires 1-5 reference images
Color guide supports 1-10 color codes

License

MIT License

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