# claude-aws-mcp

> Use this tool when you need to manage AWS resources using natural language commands, simplifying tasks such as provisioning EC2 instances, configuring Security Groups, and accessing S3 buckets. It solves problems of manual resource management and scripting, providing a user-friendly interface for controlling AWS services. With inputs of natural language commands and outputs of executed AWS actions, it's ideal for streamlining cloud resource management workflows.

Canonical page: https://skillsregistry.net/skills/chyang222-mcp-project-aws  
JSON: https://api.skillsregistry.net/v1/skills/chyang222-mcp-project-aws

## Description

Enables natural language control of AWS resources (EC2, Security Groups, S3, Bedrock, etc.) directly from Claude Desktop or Claude Code.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fo92nsuqei)
- **Repository:** <https://github.com/chyang222/MCP_Project_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": "chyang222-mcp-project-aws"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chyang222-mcp-project-aws` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chyang222-mcp-project-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