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Aws Nova Canvas Mcp

Aws Nova Canvas Mcp

Local
github.com/yunwoong7Cloud & Infra4Updated 79w ago

About Aws Nova Canvas Mcp

Aws Nova Canvas Mcp is an MCP server for generating and editing images with Amazon Bedrock’s Nova Canvas model. It supports several image transformation modes and saves output files locally.

Key features

  1. 01Text-to-image generation
  2. 02Inpainting and outpainting
  3. 03Image variation and conditioning
  4. 04Color-guided generation
  5. 05Background removal and thumbnails

Use cases

  1. 01Create images from text prompts
  2. 02Modify selected areas of an image
  3. 03Extend image borders or create variations
  4. 04Remove image backgrounds and inspect thumbnails

MCP support

Exposes image generation and editing capabilities to MCP clients, using the Nova Canvas model through Amazon Bedrock.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"aws-nova-canvas": {
"command": "uvx",
"args": [
"aws-nova-canvas-mcp"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>"
}
}
}
}
Run commanduvx aws-nova-canvas-mcp
Environment variables to set
AWS_PROFILE

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiaws-nova-canvas-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

AWS Nova Canvas MCP Server

README image README image

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
  1. 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
README image
  1. 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

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.

README image

Usage Example

README image

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

Comments

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