What are the prerequisites for using Amazon Bedrock MCP Server?
An active AWS account with Amazon Bedrock and Nova Canvas model access, Node.js version 18 or later, and properly configured AWS credentials with required permissions.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"amazon-bedrock": {
"command": "npx",
"args": [
"-y",
"@zxkane/mcp-server-amazon-bedrock"
],
"env": {
"AWS_PROFILE": "",
"AWS_ACCESS_KEY_ID": "",
"AWS_SECRET_ACCESS_KEY": "",
"AWS_REGION": ""
}
}
}
}Generate image(s) using Amazon Nova Canvas model. The returned data is Base64-encoded string that represent each image that was generated.
This server integrates with Amazon Bedrock's Nova Canvas model to generate images from text descriptions using the Model Context Protocol. It is designed for developers and AI applications that need image generation with advanced control over composition, dimensions, and quality.
Install the npm package, configure AWS credentials via environment variables, the AWS credentials file, or an IAM role. Integrate with Claude Desktop by adding the server configuration to claude_desktop_config.json. Invoke the generate_image tool with a required prompt and optional parameters such as negativePrompt, width, height, quality, cfg_scale, seed, and numberOfImages.
An active AWS account with Amazon Bedrock and Nova Canvas model access, Node.js version 18 or later, and properly configured AWS credentials with required permissions.
You can set credentials via environment variables (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION`), the AWS credentials file with a profile and `AWS_PROFILE` environment variable, or an IAM role when deployed on AWS infrastructure.
Required: `prompt` (1‑1024 characters). Optional: `negativePrompt`, `width` (default 1024), `height` (default 1024), `quality` (standard/premium), `cfg_scale` (1.1‑10, default 6.5), `seed` (0‑858993459, default 12), and `numberOfImages` (1‑5, default 1).
Generation time is influenced by the resolution (`width`, `height`), the number of images (`numberOfImages`), and the `quality` setting. Higher values may cause timeouts in some implementations.
Add an entry to `

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