The Amazon Nova Canvas MCP Server provides a Model Context Protocol server for generating images using Amazon Nova Canvas. It connects compatible AI assistants to Amazon's image generation capabilities, allowing for text and color-guided image creation through simple API calls.
uv
from Astral or GitHubuv python install 3.10
aws configure
or environment variablesAdd the following to your MCP configuration file:
{
"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": []
}
}
}
After building the Docker image with docker build -t awslabs/nova-canvas-mcp-server .
:
Create an environment file for AWS credentials:
AWS_ACCESS_KEY_ID=ASIAIOSFODNN7EXAMPLE
AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
AWS_SESSION_TOKEN=AQoEXAMPLEH4aoAH0gNCAPy...truncated...zrkuWJOgQs8IZZaIv2BXIa2R4Olgk
Configure your MCP servers:
{
"mcpServers": {
"awslabs.nova-canvas-mcp-server": {
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"AWS_REGION=us-east-1",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"--env-file",
"/full/path/to/file/above/.env",
"awslabs/nova-canvas-mcp-server:latest"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
For Claude Desktop, install automatically using Smithery:
npx -y @smithery/cli install @awslabs/nova-canvas-mcp-server --client claude
The server uses the AWS profile specified in the AWS_PROFILE
environment variable, defaulting to the "default" profile if not provided:
"env": {
"AWS_PROFILE": "your-aws-profile",
"AWS_REGION": "us-east-1"
}
Ensure your AWS profile has the necessary permissions for Amazon Bedrock and Nova Canvas.
generate_image
generate_image_with_colors
All generated images are automatically saved to user-specified workspace directories, with folders created as needed.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.