AWS CLI MCP Server

by ClockworkCubed

139 downloads Not rated yet

GitHub

Developer Tools

About

MCP server that acts as a thin wrapper around the local AWS CLI command

Explore

- Thin Wrapper: Direct proxy to local AWS CLI commands
- Security: Respects existing AWS CLI credentials and permissions
- Compatibility: Works with all AWS CLI commands and services
- Configuration: Uses existing AWS CLI profiles and configurations

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name AWS CLI MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

From the repository

- AWS CLI installed and configured locally
- Valid AWS credentials (via aws configure, IAM roles, or environment variables)

brew install awscli

aws configure

bash

Start the MCP server using Python:

python aws_mcp.py

The server will start and log:

INFO     Starting MCP server 'aws-cli-mcp' with transport 'stdio'

The server runs in stdio mode and communicates via the Model Context Protocol over standard input/output.

{
  "tool": "execute_aws_command_tool",
  "arguments": {
    "args": ["sts", "get-caller-identity"]
  }
}

{
  "args": ["service", "command", "--option", "value"]
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "aws cli mcp server": {
            "aws-cli-mcp": {
                "command": "python",
                "args": [
                    "aws_mcp.py"
                ]
            }
        }
    }
}

McpServers

{
    "aws-cli-mcp": {
        "command": "python",
        "args": [
            "aws_mcp.py"
        ]
    }
}

A Model Context Protocol (MCP) server that acts as a thin wrapper around the local AWS CLI command, providing AI assistants with secure access to AWS services through the familiar AWS CLI interface.

Overview

This MCP server allows AI assistants to interact with AWS services by proxying commands to the local AWS CLI installation. It provides a secure, controlled way for AI systems to manage AWS resources while leveraging existing AWS CLI configurations and credentials.

Features

Prerequisites

- AWS CLI installed and configured locally
- Valid AWS credentials (via aws configure, IAM roles, or environment variables)

Installation

Prerequisites

1. Python 3.10+ - Required for FastMCP compatibility
2. AWS CLI - Must be installed and configured locally

   # Install via homebrew (macOS)

   brew install awscli

   

   # Or via pip

   pip install awscli

   

   # Configure with your credentials

   aws configure

Install Dependencies

```bash

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Explore

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Overview

Features

Prerequisites

Installation

Prerequisites

Install Dependencies

More like this

Sentry

Github

Git

GitLab