# AWS CLI

> Use this tool when you need to manage AWS resources and execute AWS commands through a standardized interface. It solves problems in cloud management workflows by allowing users to interact with AWS resources without leaving their AI assistant conversation. The tool takes AWS commands as input and returns execution results, making it ideal for use cases such as retrieving AWS CLI documentation and running AWS CLI operations with Unix pipe support.

Canonical page: https://skillsregistry.net/skills/alexei-led-aws-cli  
JSON: https://api.skillsregistry.net/v1/skills/alexei-led-aws-cli

## Description

AWS MCP Server provides a lightweight bridge between AI assistants and the AWS CLI, enabling execution of AWS commands through a standardized interface. Built by alexei-led, it features two main tools: describe_command for retrieving AWS CLI documentation and execute_command for running AWS CLI operations with Unix pipe support. The server leverages existing AWS credentials on the host machine, includes pre-defined prompt templates for common AWS tasks following best practices, and supports multi-architecture deployment via Docker. This implementation is particularly valuable for cloud management workflows where users need to interact with AWS resources without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-07-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alexei-led-aws-cli)
- **Repository:** <https://github.com/alexei-led/cloud-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alexei-led-aws-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexei-led-aws-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexei-led-aws-cli/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
