Yanked

This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Reason given by maintainers: Superceeded by community maintained https://github.com/kalleeh/bedrock-image-mcp-server

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 uv from 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
- You need an AWS account with Amazon Bedrock and Amazon Nova Canvas enabled
- Configure AWS credentials with aws configure or environment variables
- Ensure your IAM role/user has permissions to use 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):

{
  "mcpServers": {
    "awslabs.nova-canvas-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.nova-canvas-mcp-server@latest"],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "FASTMCP_LOG_LEVEL": "ERROR"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Installing via Smithery

To install Amazon Nova Canvas MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @awslabs/nova-canvas-mcp-server --client claude

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.

"env": {
  "AWS_PROFILE": "your-aws-profile",
  "AWS_REGION": "us-east-1"
}

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.

Metadata

Release files for awslabs.nova-canvas-mcp-server 0.1.2025141004

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File	Size	Uploaded	Provenance
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File	Interpreter	ABI	Platform	Reset
awslabs_nova_canvas_mcp_server-0.1.2025141004-py3-none-any.whl 20.5 kB Apr 14, 2025 With provenance	Python 3	none	any	Details

Total release size: 73.1 kB

Release files / awslabs_nova_canvas_mcp_server-0.1.2025141004.tar.gz

Download URL	awslabs_nova_canvas_mcp_server-0.1.2025141004.tar.gz
Size	52.6 kB
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Release files / awslabs_nova_canvas_mcp_server-0.1.2025141004-py3-none-any.whl

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Size	20.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cc94a208ce7fb4afd9e56bc040cd83d2f8c7be8ac97f5388d2d443a8d626d281`
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Upload date	Apr 14, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing platform: GitHub Actions
Publishing repository: github.com/awslabs/mcp
Publishing commit: github.com/awslabs/mcp/tree/924451f2bea4997e9831057e629a448b7818937f

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