Skip to main content

An AWS Labs Model Context Protocol (MCP) server for Amazon Nova Canvas

Reason this release was yanked:

Superceeded by community maintained https://github.com/kalleeh/bedrock-image-mcp-server

Project description

Amazon Nova Canvas MCP Server

smithery badge

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

  1. Install uv from Astral or the GitHub README
  2. Install Python using uv python install 3.10
  3. 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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file awslabs_nova_canvas_mcp_server-0.1.2025141004.tar.gz.

File metadata

File hashes

Hashes for awslabs_nova_canvas_mcp_server-0.1.2025141004.tar.gz
Algorithm Hash digest
SHA256 a8a6f531d020b71a56b0b68f09af3c8cf81a18d96ef3cf5285c93e1557d38c7a
MD5 2eef14f0dee430a6780aa45731a087c1
BLAKE2b-256 b28df4a62204a9b0797825efea723ef3c2e44ece083d6b70406106e6c467ca02

See more details on using hashes here.

Provenance

The following attestation bundles were made for awslabs_nova_canvas_mcp_server-0.1.2025141004.tar.gz:

Publisher: release.yml on awslabs/mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file awslabs_nova_canvas_mcp_server-0.1.2025141004-py3-none-any.whl.

File metadata

File hashes

Hashes for awslabs_nova_canvas_mcp_server-0.1.2025141004-py3-none-any.whl
Algorithm Hash digest
SHA256 cc94a208ce7fb4afd9e56bc040cd83d2f8c7be8ac97f5388d2d443a8d626d281
MD5 46a2d2689e63a891af3628efb25a22b7
BLAKE2b-256 5c45afea03bce509e7b268f52d1d5142a915d1fc13d1b9dab93a389abecc7ef6

See more details on using hashes here.

Provenance

The following attestation bundles were made for awslabs_nova_canvas_mcp_server-0.1.2025141004-py3-none-any.whl:

Publisher: release.yml on awslabs/mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page