A suite of specialized MCP servers that bring AWS best practices directly to your development workflow.

This monorepo contains the following MCP servers:

A server for managing and coordinating other AWS Labs MCP servers.

• Automatic MCP Server Management
• Planning and guidance to orchestrate AWS Labs MCP Servers
• UVX Installation Support
• Centralized Configuration

Learn more | Documentation

A server for accessing Amazon Bedrock Knowledge Bases.

• Discover knowledge bases and their data sources
• Query knowledge bases with natural language
• Filter results by data source
• Rerank results

Learn more | Documentation

A server for AWS CDK best practices.

• AWS CDK project analysis and assistance
• CDK construct recommendations
• Infrastructure as Code best practices

Learn more | Documentation

A server for AWS Cost Analysis.

• Analyze and visualize AWS costs
• Query cost data with natural language
• Generate cost reports and insights

Learn more | Documentation

A server for generating images using Amazon Nova Canvas.

• Text-based image generation with customizable parameters
• Color-guided image generation with specific palettes
• Workspace integration for saving generated images
• AWS authentication through profiles

Learn more | Documentation

Each server has specific installation instructions. Generally, you can:

1. Install uv from Astral
2. Install Python using uv python install 3.10
3. Configure AWS credentials with access to required services
4. Add the server to your MCP client configuration

Example configuration for Amazon Q CLI MCP (~/.aws/amazonq/mcp.json):

{
  "mcpServers": {
    "awslabs.core-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.core-mcp-server@latest"],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "MCP_SETTINGS_PATH": "path to your mcp settings file"
      }
    },
    "awslabs.nova-canvas-mcp-server": {
      "command": "uvx",
      "args": [
        "awslabs.core-mcp-server@latest",
      ],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    },
    "awslabs.bedrock-kb-retrieval-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.bedrock-kb-retrieval-mcp-server@latest"],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    },
    "awslabs.cost-analysis-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.cost-analysis-mcp-server@latest"],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    },
    "awslabs.cdk-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.cdk-mcp-server@latest"],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    }
  }
}

See individual server READMEs for specific requirements and configuration options.

Comprehensive documentation for all servers is available on our documentation website.

Documentation for each server:

Documentation includes:

• Detailed guides for each server
• Installation and configuration instructions
• API references
• Usage examples

See CONTRIBUTING for more information.

This project is licensed under the Apache-2.0 License.

Before using an MCP Server, you should consider conducting your own independent assessment to ensure that your use would comply with your own specific security and quality control practices and standards, as well as the laws, rules, and regulations that govern you and your content.