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AWS Bedrock Nova Canvas

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[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/zxkane-mcp-server-amazon-bedrock-badge.png)](https://mseep.ai/app/zxkane-mcp-server-amazon-bedrock) # Amazon Bedrock MCP Server A Model Control Protocol (MCP) server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation. Amazon Bedrock Server MCP server ## 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][nova-canvas-doc]. ## 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. [nova-canvas-doc]: https://docs.aws.amazon.com/nova/latest/userguide/image-gen-access.html

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