aws-nova-canvas-mcp
AWS Nova Canvas MCP Server is a powerful tool designed for generating and editing images using Amazon Bedrock's Nova Canvas model. It offers features like image inpainting, outpainting, and variation, with easy setup for Claude Desktop.
AWS Nova Canvas MCP Server
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
- 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": "uvx", "args": [ "aws-nova-canvas-mcp" ], "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
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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