Mcp Server Amazon Bedrock
Description
Model Context Procotol(MCP) server for using Amazon Bedrock Nova Canvas to generate images
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
[](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.
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
- Active AWS account with Amazon Bedrock and Nova Canvas model access
- Properly configured AWS credentials with required permissions
- 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:
Environment variables:
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 regionAWS credentials file (`~/.aws/credentials`):
[the_profile_name] aws_access_key_id = your_access_key aws_secret_access_key = your_secret_keyEnvironment variable for active profile:
export AWS_PROFILE=the_profile_nameIAM 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`
{
"mcpServers": {
"a
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