use-aws-mcp-server 0.2.2

MCP server that provides AWS CLI integration for AI assistants, enabling execution of AWS API calls with proper parameter validation and error handling

use-aws-mcp-server

MCP server that provides AWS CLI integration for AI assistants, enabling execution of AWS API calls with proper parameter validation and error handling.

Features

• Execute AWS CLI commands through an MCP server interface
• Support for all AWS services and operations
• Parameter validation and error handling

Prerequisites

Installation Requirements

1. Install uv from Astral or the GitHub README
2. Install Python 3.10 or newer using uv python install 3.10 (or a more recent version)
3. AWS CLI configured with appropriate credentials

Installation

To add this MCP server to your Amazon Q or Claude, add the following to your MCP config file. With Amazon Q, create (if does not yet exist) a file named .amazonq/mcp.json under the same directory that is running q chat. Then add the following config:

{
  "mcpServers": {
    "use-aws-mcp-server": {
        "command": "uvx",
        "args": ["use-aws-mcp-server@latest"],
        "env": {
          "AWS_REGION": "ap-northeast-1",
          "AWS_PROFILE": "default"
        }
    }
  }
}

Tools

use_aws

Make an AWS CLI api call with the specified service, operation, and parameters.

def use_aws(
    service_name: str,
    operation_name: str,
    label: str,
    region: str = None,
    parameters: dict = {},
    profile_name: str = None,
) -> str: