Amazon Nova Canvas MCP Server
MCP server for generating images using Amazon Nova Canvas
Features
Text-based image generation
- Create images from text prompts with
generate_image
- Customizable dimensions (320-4096px), quality options, and negative prompting
- Supports multiple image generation (1-5) in single request
- Adjustable parameters like cfg_scale (1.1-10.0) and seeded generation
Color-guided image generation
- Generate images with specific color palettes using
generate_image_with_colors
- Define up to 10 hex color values to influence the image style and mood
- Same customization options as text-based generation
Workspace integration
- Images saved to user-specified workspace directories with automatic folder creation
AWS authentication
- Uses AWS profiles for secure access to Amazon Nova Canvas services
Prerequisites
- Install
uvfrom Astral or the GitHub README
- Install Python using
uv python install 3.10
- Set up AWS credentials with access to Amazon Bedrock and Nova Canvas
Installation
Here are some ways you can work with MCP across AWS, and we'll be adding support to more products including Amazon Q Developer CLI soon: (e.g. for Amazon Q Developer CLI MCP,
~/.aws/amazonq/mcp.json):Installing via Smithery
To install Amazon Nova Canvas MCP Server for Claude Desktop automatically via Smithery:
AWS Authentication
The MCP server uses the AWS profile specified in the
AWS_PROFILE environment variable. If not provided, it defaults to the "default" profile in your AWS configuration file.Make sure the AWS profile has permissions to access Amazon Bedrock and Amazon Nova Canvas. The MCP server creates a boto3 session using the specified profile to authenticate with AWS services. Your AWS IAM credentials remain on your local machine and are strictly used for using the Amazon Bedrock model APIs.
Amazon Nova Canvas MCP Server
MCP server for generating images using Amazon Nova Canvas
Features
Text-based image generation
- Create images from text prompts with
generate_image
- Customizable dimensions (320-4096px), quality options, and negative prompting
- Supports multiple image generation (1-5) in single request
- Adjustable parameters like cfg_scale (1.1-10.0) and seeded generation
Color-guided image generation
- Generate images with specific color palettes using
generate_image_with_colors
- Define up to 10 hex color values to influence the image style and mood
- Same customization options as text-based generation
Workspace integration
- Images saved to user-specified workspace directories with automatic folder creation
AWS authentication
- Uses AWS profiles for secure access to Amazon Nova Canvas services
Prerequisites
- Install
uvfrom Astral or the GitHub README
- Install Python using
uv python install 3.10
- Set up AWS credentials with access to Amazon Bedrock and Nova Canvas
Installation
Here are some ways you can work with MCP across AWS, and we'll be adding support to more products including Amazon Q Developer CLI soon: (e.g. for Amazon Q Developer CLI MCP,
~/.aws/amazonq/mcp.json):Installing via Smithery
To install Amazon Nova Canvas MCP Server for Claude Desktop automatically via Smithery:
AWS Authentication
The MCP server uses the AWS profile specified in the
AWS_PROFILE environment variable. If not provided, it defaults to the "default" profile in your AWS configuration file.Make sure the AWS profile has permissions to access Amazon Bedrock and Amazon Nova Canvas. The MCP server creates a boto3 session using the specified profile to authenticate with AWS services. Your AWS IAM credentials remain on your local machine and are strictly used for using the Amazon Bedrock model APIs.