# io.github.musaddiq-dev/aws-cli-mcp-server

> io.github.musaddiq-dev/aws-cli-mcp-server — musaddiq-dev-aws-cli-mcp-server. Use this tool when you need to manage and interact with AWS services through a command-line interface, providing features like command execution, suggestions, and region lookup. It solves problems of AWS resource inspection and operation, allowing MCP-compatible clients to access AWS CLI functionality. The tool takes in commands and inputs, and outputs execution results, suggestions, and region information, making it ideal for automating AWS tasks and integrating with MCP-compatible clients.

Canonical page: https://skillsregistry.net/skills/musaddiq-dev-aws-cli-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/musaddiq-dev-aws-cli-mcp-server

## Description

A Python MCP server that lets MCP-compatible clients inspect and operate AWS through the AWS CLI, with command execution, suggestions, region lookup, and caller identity checks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xyxfkh1psn)
- **Repository:** <https://github.com/musaddiq-dev/aws-cli-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": "musaddiq-dev-aws-cli-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/musaddiq-dev-aws-cli-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/musaddiq-dev-aws-cli-mcp-server/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