# S3 Tools

> Use this tool when you need to interact with AWS S3 buckets, manage cloud storage, or perform file operations. It provides a secure and extensible solution for listing S3 buckets and supports easy integration with AI assistants through the Model Context Protocol. Ideal for applications requiring cloud storage management, such as file organization, backup solutions, or content delivery systems.

Canonical page: https://skillsregistry.net/skills/sofianhamiti-s3-tools  
JSON: https://api.skillsregistry.net/v1/skills/sofianhamiti-s3-tools

## Description

This MCP server implementation provides tools for interacting with AWS S3 buckets, enabling AI assistants to perform S3 operations through the Model Context Protocol. Developed by sofianhamiti, it currently offers a tool for listing S3 buckets with optional region specification. Built using Python and leveraging the boto3 library, the server focuses on secure AWS credential management and supports easy installation via PyPI or from source. It is particularly useful for applications requiring cloud storage management, such as file organization, backup solutions, or content delivery systems. The implementation is designed to be extensible, allowing for future addition of more S3-related tools and operations.

## Trust

- **Trust score (0–1):** 1.00
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/sofianhamiti-s3-tools)
- **Repository:** <https://github.com/sofianhamiti/mcp-server-s3>

## 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": "sofianhamiti-s3-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sofianhamiti-s3-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sofianhamiti-s3-tools/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