awslabs.core-mcp-server 1.0.23

An AWS Labs Model Context Protocol (MCP) server for aswlabs Core MCP Server

Core MCP Server

MCP server that provides a starting point for using MCP servers for AWS through a dynamic proxy server strategy based on role-based environment variables.

Features

Planning and orchestration

• Provides tool for prompt understanding and translation to AWS services

Dynamic Proxy Server Strategy

The Core MCP Server implements a proxy server strategy that dynamically imports and proxies other MCP servers based on role-based environment variables. This allows you to create tailored server configurations for specific use cases or roles without having to manually configure each server.

Role-Based Server Configuration

You can enable specific roles by setting environment variables. Each role corresponds to a logical grouping of MCP servers that are commonly used together for specific use cases.

Important: Environment variable names can be either lowercase with hyphens or uppercase with underscores (e.g., aws-foundation or AWS_FOUNDATION). Some systems may not support the hyphenated format, so choose the format that works best for your environment.

Role Environment Variable	Description	Included MCP Servers
aws-foundation	AWS knowledge and API servers	aws-knowledge-server, aws-api-server
dev-tools	Development tools	git-repo-research-server, code-doc-gen-server, aws-knowledge-server
ci-cd-devops	CI/CD and DevOps	cdk-server, cfn-server
container-orchestration	Container management	eks-server, ecs-server, finch-server
serverless-architecture	Serverless development	serverless-server, lambda-tool-server, stepfunctions-tool-server, sns-sqs-server
analytics-warehouse	Data analytics and warehousing	redshift-server, timestream-for-influxdb-server, dataprocessing-server, syntheticdata-server
data-platform-eng	Data platform engineering	dynamodb-server, s3-tables-server, dataprocessing-server
frontend-dev	Frontend development	frontend-server, nova-canvas-server
solutions-architect	Solution architecture	diagram-server, pricing-server, cost-explorer-server, syntheticdata-server, aws-knowledge-server
finops	Financial operations	cost-explorer-server, pricing-server, cloudwatch-server, billing-cost-management-server
monitoring-observability	Monitoring and observability	cloudwatch-server, cloudwatch-appsignals-server, prometheus-server, cloudtrail-server
caching-performance	Caching and performance	elasticache-server, memcached-server
security-identity	Security and identity	iam-server, support-server, well-architected-security-server
sql-db-specialist	SQL database specialist	postgres-server, mysql-server, aurora-dsql-server, redshift-server
nosql-db-specialist	NoSQL database specialist	dynamodb-server, documentdb-server, keyspaces-server, neptune-server
timeseries-db-specialist	Time series database specialist	timestream-for-influxdb-server, prometheus-server, cloudwatch-server
messaging-events	Messaging and events	sns-sqs-server, mq-server
healthcare-lifesci	Healthcare and life sciences	healthomics-server

Benefits of the Proxy Server Strategy

• Simplified Configuration: Enable multiple servers with a single environment variable
• Reduced Duplication: Servers are imported only once, even if needed by multiple roles
• Tailored Experience: Create custom server configurations for specific use cases
• Flexible Deployment: Easily switch between different server configurations

Usage Notes

• If no roles are enabled, the Core MCP Server will still provide its basic functionality (prompt_understanding) but won't import any additional servers
• You can enable multiple roles simultaneously to create a comprehensive server configuration
• The proxy strategy ensures that each server is imported only once, even if it's needed by multiple roles

Note: Not all MCP servers for AWS are represented in these logical groupings. For specific use cases, you may need to install additional MCP servers directly. See the main README for a complete list of available MCP servers.

Prerequisites

• Python 3.12 or higher
• uv - Fast Python package installer and resolver
• AWS credentials configured with Bedrock access
• Node.js (for UVX installation support)

Installation

Kiro	Cursor	VS Code

Configure the MCP server in your MCP client configuration (e.g., for Kiro, edit ~/.kiro/settings/mcp.json):

{
  "mcpServers": {
    "awslabs.core-mcp-server": {
      "command": "uvx",
      "args": [
        "awslabs.core-mcp-server@latest"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "aws-foundation": "true",
        "solutions-architect": "true"
        // Add other roles as needed
      },
      "autoApprove": [],
      "disabled": false
    }
  }
}

To enable specific role-based server configurations, add the corresponding environment variables to the env section of your MCP client configuration. For example, the configuration above enables the aws-foundation and solutions-architect roles, which will import the corresponding MCP servers.

Windows Installation

For Windows users, the MCP server configuration format is slightly different:

{
  "mcpServers": {
    "awslabs.core-mcp-server": {
      "disabled": false,
      "timeout": 60,
      "type": "stdio",
      "command": "uv",
      "args": [
        "tool",
        "run",
        "--from",
        "awslabs.core-mcp-server@latest",
        "awslabs.core-mcp-server.exe"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "aws-foundation": "true",
        "solutions-architect": "true"
        // Add other roles as needed
      }
    }
  }
}

or docker after a successful docker build -t awslabs/core-mcp-server .:

  {
    "mcpServers": {
      "awslabs.core-mcp-server": {
        "command": "docker",
        "args": [
          "run",
          "--rm",
          "--interactive",
          "--env",
          "FASTMCP_LOG_LEVEL=ERROR",
          "--env",
          "aws-foundation=true",
          "--env",
          "solutions-architect=true",
          "awslabs/core-mcp-server:latest"
        ],
        "env": {},
        "disabled": false,
        "autoApprove": []
      }
    }
  }

Tools and Resources

The server exposes the following tools through the MCP interface:

• prompt_understanding - Helps to provide guidance and planning support when building AWS Solutions for the given prompt