# MCP-AWS

> Use this tool when you need to automate AWS EC2 instance management using natural language commands, solving problems such as manual provisioning and termination of instances. It takes natural language inputs and outputs EC2 instance status, allowing for efficient management of cloud resources. Ideal for use cases where automation and scalability are crucial, such as dynamic workload management and cost optimization.

Canonical page: https://skillsregistry.net/skills/anirban1592-mcp-server-aws  
JSON: https://api.skillsregistry.net/v1/skills/anirban1592-mcp-server-aws

## Description

Enables AI agents to provision and terminate AWS EC2 instances using natural language commands.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gfzxwzec0g)
- **Repository:** <https://github.com/anirban1592/mcp-server-aws>

## 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": "anirban1592-mcp-server-aws"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anirban1592-mcp-server-aws` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anirban1592-mcp-server-aws/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