Amazon Bedrock MCP Server
@MCP-Mirror
About Amazon Bedrock MCP Server
Mirror of
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"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": ""
}
}
}
}Tools
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Overview
What is Amazon Bedrock MCP Server?
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.
How to use Amazon Bedrock MCP Server?
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.
Key features of Amazon Bedrock MCP Server
- Generates high-quality images from text descriptions
- Supports negative prompts for refined composition
- Configurable image dimensions and quality levels
- Deterministic generation with seed control
- Robust input validation and error handling
Use cases of Amazon Bedrock MCP Server
- Create custom images for presentations, websites, or social media
- Refine outputs by excluding unwanted elements via negative prompts
- Batch multiple image variations with a single request
- Reproduce consistent results using fixed seed values
- Fine‑tune prompt adherence strength for artistic control
FAQ from Amazon Bedrock MCP Server
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.
How do I configure AWS credentials for the server?
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.
What parameters does the generate_image tool accept?
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).
Are there any performance considerations?
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.
How do I integrate with Claude Desktop?
Add an entry to `
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