# Amazon S3

> Use this tool when you need to interact with Amazon S3 storage services through a standardized interface, solving problems such as managing cloud storage, uploading and downloading files, and retrieving file contents. It takes AWS credentials as input and provides outputs such as bucket listings, object browsing, and file contents. Use it in contexts where direct cloud storage interaction is required, such as data engineering and development tasks.

Canonical page: https://skillsregistry.net/skills/c4pt0r-s3  
JSON: https://api.skillsregistry.net/v1/skills/c4pt0r-s3

## Description

MCP-Server-S3 provides a bridge to Amazon S3 storage services, enabling AI assistants to perform common S3 operations through a standardized interface. The implementation offers seven specialized tools for listing buckets, browsing objects, retrieving file contents, uploading and downloading files, and deleting objects. Built with Python 3.13 using the boto3 library, it authenticates with AWS credentials through environment variables and runs as a FastMCP server. This tool is particularly valuable for developers and data engineers who need to interact with cloud storage directly through AI assistants without switching to separate AWS management interfaces.

## Trust

- **Trust score (0–1):** 0.98
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/c4pt0r-s3)
- **Repository:** <https://github.com/c4pt0r/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": "c4pt0r-s3"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/c4pt0r-s3` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/c4pt0r-s3/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