# AWS S3 Control MCP Server

> Use this tool when you need to manage AWS S3 resources using natural language commands, enabling effortless interaction with the AWS S3 Control API. It solves problems related to automating S3 tasks, such as bucket management and object storage, through conversational interfaces. The tool accepts natural language inputs and outputs API responses, ideal for use cases requiring voice or text-based control over S3 resources.

Canonical page: https://skillsregistry.net/skills/qingyun-wu-aws-s3-control  
JSON: https://api.skillsregistry.net/v1/skills/qingyun-wu-aws-s3-control

## Description

An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with AWS S3 Control API through natural language, auto-generated using AG2's MCP builder.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jfy8w9axm5)
- **Repository:** <https://github.com/qingyun-wu/aws-s3-control>

## 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": "qingyun-wu-aws-s3-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qingyun-wu-aws-s3-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qingyun-wu-aws-s3-control/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