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    Mcp Server Amazon Bedrock

    Model Context Procotol(MCP) server for using Amazon Bedrock Nova Canvas to generate images

    22 stars
    JavaScript
    Updated Oct 13, 2025
    amazon-bedrock
    amazon-nova
    claude
    model-context-protocol

    Table of Contents

    • Features
    • Prerequisites
    • Installation
    • AWS Credentials Configuration
    • Claude Desktop Integration
    • Available Tools
    • generate_image
    • Parameters
    • Example Implementation
    • Prompt Guidelines
    • Development
    • Performance Considerations
    • License

    Table of Contents

    • Features
    • Prerequisites
    • Installation
    • AWS Credentials Configuration
    • Claude Desktop Integration
    • Available Tools
    • generate_image
    • Parameters
    • Example Implementation
    • Prompt Guidelines
    • Development
    • Performance Considerations
    • License

    Documentation

    MseeP.ai Security Assessment Badge

    Amazon Bedrock MCP Server

    A Model Control Protocol (MCP) server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation.

    Features

    • High-quality image generation from text descriptions using Amazon's Nova Canvas model
    • Advanced control through negative prompts to refine image composition
    • Flexible configuration options for image dimensions and quality
    • Deterministic image generation with seed control
    • Robust input validation and error handling

    Prerequisites

    1. Active AWS account with Amazon Bedrock and Nova Canvas model access

    2. Properly configured AWS credentials with required permissions

    3. Node.js version 18 or later

    Installation

    AWS Credentials Configuration

    The server requires AWS credentials with appropriate Amazon Bedrock permissions. Configure these using one of the following methods:

    1. Environment variables:

    bash
    export AWS_ACCESS_KEY_ID=your_access_key
       export AWS_SECRET_ACCESS_KEY=your_secret_key
       export AWS_REGION=us-east-1  # or your preferred region

    2. AWS credentials file (~/.aws/credentials):

    ini
    [the_profile_name]
       aws_access_key_id = your_access_key
       aws_secret_access_key = your_secret_key

    Environment variable for active profile:

    bash
    export AWS_PROFILE=the_profile_name

    3. IAM role (when deployed on AWS infrastructure)

    Claude Desktop Integration

    To integrate with Claude Desktop, add the following configuration to your settings file:

    MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    Windows: %APPDATA%/Claude/claude_desktop_config.json

    json
    {
      "mcpServers": {
        "amazon-bedrock": {
          "command": "npx",
          "args": [
            "-y",
            "@zxkane/mcp-server-amazon-bedrock"
          ],
          "env": {
            "AWS_PROFILE": "your_profile_name",         // Optional, only if you want to use a specific profile
            "AWS_ACCESS_KEY_ID": "your_access_key",     // Optional if using AWS credentials file or IAM role
            "AWS_SECRET_ACCESS_KEY": "your_secret_key", // Optional if using AWS credentials file or IAM role
            "AWS_REGION": "us-east-1"                   // Optional, defaults to 'us-east-1'
          }
        }
      }
    }

    Available Tools

    generate_image

    Creates images from text descriptions using Amazon Bedrock's Nova Canvas model.

    Parameters

    • prompt (required): Descriptive text for the desired image (1-1024 characters)
    • negativePrompt (optional): Elements to exclude from the image (1-1024 characters)
    • width (optional): Image width in pixels (default: 1024)
    • height (optional): Image height in pixels (default: 1024)
    • quality (optional): Image quality level - "standard" or "premium" (default: "standard")
    • cfg_scale (optional): Prompt adherence strength (1.1-10, default: 6.5)
    • seed (optional): Generation seed for reproducibility (0-858993459, default: 12)
    • numberOfImages (optional): Batch size for generation (1-5, default: 1)

    Example Implementation

    typescript
    const result = await callTool('generate_image', {
      prompt: "A serene mountain landscape at sunset",
      negativePrompt: "people, buildings, vehicles",
      quality: "premium",
      cfg_scale: 8,
      numberOfImages: 2
    });

    Prompt Guidelines

    For optimal results, avoid negative phrasing ("no", "not", "without") in the main prompt. Instead, move these elements to the negativePrompt parameter. For example, rather than using "a landscape without buildings" in the prompt, use "buildings" in the negativePrompt.

    For detailed usage guidelines, refer to the Nova Canvas documentation.

    Development

    To set up and run the server in a local environment:

    bash
    git clone https://github.com/zxkane/mcp-server-amazon-bedrock.git
    cd mcp-server-amazon-bedrock
    npm install
    npm run build

    Performance Considerations

    Generation time is influenced by resolution (width and height), numberOfImages, and quality settings. When using higher values, be mindful of potential timeout implications in your implementation.

    License

    This project is licensed under the MIT License - see the LICENSE file for details.

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