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Core MCP Server

MCP server that provides a starting point for using the following awslabs MCP servers - awslabs.cdk-mcp-server - awslabs.bedrock-kb-retrieval-mcp-server - awslabs.nova-canvas-mcp-server - awslabs.cost-analysis-mcp-server - awslabs.aws-documentation-mcp-server - awslabs.aws-diagram-mcp-server

Features

Planning and orchestration

  • Provides tool for prompt understanding and translation to AWS services

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

Install MCP Server

Configure the MCP server in your MCP client configuration (e.g., for Amazon Q Developer CLI, edit ~/.aws/amazonq/mcp.json):

{
  "mcpServers": {
    "awslabs.core-mcp-server": {
      "command": "uvx",
      "args": [
        "awslabs.core-mcp-server@latest"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR"
      },
      "autoApprove": [],
      "disabled": false
    }
  }
}

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",
          "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