AWS CLI MCP Server

Name: AWS CLI MCP Server
Author: musaddiq-dev

by musaddiq-devversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.musaddiq-dev/aws-cli-mcp-server

Install

Overview

Description from the maker (original English)

Python MCP server for AWS CLI inspection and operations

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: AWS_REGION, AWS_PROFILE, AWS_MCP_WORKING_DIR, AWS_MCP_REQUIRE_CONFIRMATION, AWS_MCP_LOG_LEVEL

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "aws-cli": {
      "command": "uvx",
      "args": [
        "mdev-aws-mcp-server"
      ],
      "env": {
        "AWS_REGION": "your-value",
        "AWS_PROFILE": "your-value",
        "AWS_MCP_WORKING_DIR": "your-value",
        "AWS_MCP_REQUIRE_CONFIRMATION": "your-value",
        "AWS_MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add aws-cli --env AWS_REGION=your-value --env AWS_PROFILE=your-value --env AWS_MCP_WORKING_DIR=your-value --env AWS_MCP_REQUIRE_CONFIRMATION=your-value --env AWS_MCP_LOG_LEVEL=your-value -- uvx mdev-aws-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "aws-cli": {
      "command": "uvx",
      "args": [
        "mdev-aws-mcp-server"
      ],
      "env": {
        "AWS_REGION": "your-value",
        "AWS_PROFILE": "your-value",
        "AWS_MCP_WORKING_DIR": "your-value",
        "AWS_MCP_REQUIRE_CONFIRMATION": "your-value",
        "AWS_MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "aws-cli": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mdev-aws-mcp-server"
      ],
      "env": {
        "AWS_REGION": "your-value",
        "AWS_PROFILE": "your-value",
        "AWS_MCP_WORKING_DIR": "your-value",
        "AWS_MCP_REQUIRE_CONFIRMATION": "your-value",
        "AWS_MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

AWS_REGION env
Default AWS region
AWS_PROFILE env
AWS credentials profile
AWS_MCP_WORKING_DIR env
Working directory for file operations
AWS_MCP_REQUIRE_CONFIRMATION env
Emit warnings for destructive-looking operations
AWS_MCP_LOG_LEVEL env
Application log level

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account musaddiq-dev, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

More stars than 0% of the other 1386 servers in this category
Published to the registry more recently than 22% of the other 1386 servers in this category
Basic checks equal to or better than 100% of the other 1386 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AWS CLI MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AWS MCP Server

A Python Model Context Protocol (MCP) server that lets MCP-compatible clients inspect and operate AWS through the AWS CLI. It supports command execution with validation, command suggestions, AWS region lookup, and caller identity checks.

Features

Execute AWS CLI commands without shell expansion, preserving quoted arguments with shell-style parsing
Suggest common AWS CLI commands from natural language requests
Return available AWS regions
Return the current caller identity
Support stdio transport for local MCP clients
Validate configuration and write logs to stderr plus a local log file

Safety Model

This server can execute AWS CLI commands using the credentials available to the process. It blocks shell operators by using subprocess.run(..., shell=False) and flags destructive-looking commands, but it cannot replace IAM least privilege or human review. Use scoped AWS profiles or roles, prefer non-production accounts for testing, and keep destructive commands on manual approval in your MCP client.

Requirements

Python 3.12+
AWS CLI v2 installed and available on PATH
AWS CLI authentication configured and configuration through an AWS profile, IAM Identity Center/SSO, environment variables, an IAM role, or another AWS-supported credential provider
MCP-compatible client such as Claude Desktop, Cursor, VS Code, or another MCP host

Installation

When published to PyPI, install or run the server like a standard Python MCP package:

uvx mdev-aws-mcp-server

For local development from source:

git clone https://github.com/musaddiq-dev/aws-cli-mcp-server.git

cd aws-cli-mcp-server python -m venv .venv source .venv/bin/activate pip install -e .

Configuration

Before running this server, install the AWS CLI using the official AWS CLI install guide, then configure credentials using the official AWS CLI sign-in guide and AWS CLI configuration guide. AWS recommends short-term credentials where possible; avoid long-term IAM user keys unless your use case requires them.

Copy the example environment file and adjust values as needed.

cp .env.example .env

Variable	Description	Default
`AWS_REGION`	Default AWS region	`us-east-1`
`AWS_PROFILE`	AWS credentials profile	`default`
`AWS_MCP_WORKING_DIR`	Working directory for file operations	`/tmp/aws-mcp-work`
`AWS_MCP_REQUIRE_CONFIRMATION`	Emit warnings for destructive-looking operations	`true`
`AWS_MCP_LOG_LEVEL`	Application log level	`INFO`

Running

mdev-aws-mcp-server

From a local checkout before PyPI publication, run:

python -m aws_mcp_server.server

MCP Client Configuration

For published installs, prefer uvx. MCP servers using stdio must write protocol messages only to stdout; this server writes logs to stderr and a local file under ~/.aws-mcp-server/logs.

Claude Desktop / Cursor / Windsurf / Cline

Most MCP clients accept this mcpServers JSON shape:

"mcpServers": { "aws": { "command": "uvx", "args": ["mdev-aws-mcp-server"], "env": { "AWS_PROFILE": "default", "AWS_REGION": "us-east-1" } } } }

For local development from this repository, use the installed console script path instead:

"mcpServers": { "aws": { "command": "/absolute/path/to/aws-cli-mcp-server/.venv/bin/mdev-aws-mcp-server", "args": [], "env": { "AWS_PROFILE": "default", "AWS_REGION": "us-east-1" } } } }

Claude Code CLI

claude mcp add aws --env AWS_PROFILE=default --env AWS_REGION=us-east-1 -- uvx mdev-aws-mcp-server

VS Code MCP

VS Code uses the same command/args/env model in its MCP configuration:

"servers": { "aws": { "type": "stdio", "command": "uvx", "args": ["mdev-aws-mcp-server"], "env": { "AWS_PROFILE": "default", "AWS_REGION": "us-east-1" } } } }

Tools

Tool	Purpose	Safety
`call_aws`	Execute an AWS CLI command	Can modify AWS resources
`suggest_aws_commands`	Suggest common AWS CLI commands	Read-only
`get_aws_regions`	List AWS regions	Read-only
`get_caller_identity`	Return current AWS identity	Read-only

Development

pip install -e .

pip install -e '.[dev]' pytest ruff check . ruff format . pyright

Smoke Check

python -m py_compile src/aws_mcp_server/server.py src/aws_mcp_server/config.py src/aws_mcp_server/aws/executor.py

python -m pytest

Manual AWS check, if credentials are configured:

aws sts get-caller-identity

Distribution

This server is published through the standard Python MCP distribution path:

PyPI package: mdev-aws-mcp-server
MCP Registry name: io.github.musaddiq-dev/aws-cli-mcp-server
Runtime hint: uvx
Transport: stdio

The mcp-name marker at the top of this README is required for MCP Registry ownership verification. Users should prefer uvx mdev-aws-mcp-server in local MCP client configurations.

Security Notes

Do not commit .env, AWS credentials, profiles, access keys, or account-specific outputs.
Use least-privilege IAM permissions for the profile or role running this server.
Keep call_aws on explicit manual approval in your MCP client.
Do not expose this server over a network without adding authentication, TLS, and network controls.
Review generated command suggestions before executing them.

License

MIT

AWS CLI MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

AWS MCP Server

Features

Safety Model

Requirements

Installation

Configuration

Running

MCP Client Configuration

Claude Desktop / Cursor / Windsurf / Cline

Claude Code CLI

VS Code MCP

Tools

Development

Smoke Check

Distribution

Security Notes

License