# use_aws_mcp

> use_aws_mcp — runjivu-use-aws-mcp. Use this tool when you need to manage Amazon Web Services (AWS) resources independently using the AWS Management Console Portal (MCP) and integrate with Git for version control. It solves problems related to AWS resource management and automation, providing a command-line interface (CLI) for inputs and outputs. Ideal for use cases that require streamlined AWS management and Git-based workflows.

Canonical page: https://skillsregistry.net/skills/runjivu-use-aws-mcp  
JSON: https://api.skillsregistry.net/v1/skills/runjivu-use-aws-mcp

## Description

amazon-q-cli use_aws tool into independant mcp

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/runjivu/use_aws_mcp)

## 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": "runjivu-use-aws-mcp"
    }
  }
}
```

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

---
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