# AWS S3

> Use this tool when you need to securely manage cloud storage operations, such as listing, retrieving, uploading, and deleting objects in S3 buckets. It solves problems related to cloud file management, providing a standardized interface for AI assistants to interact with S3. With configurable expiration times and pre-signed URL-based access, it offers a straightforward way to integrate S3 capabilities into conversational workflows.

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

## Description

AWS S3 MCP Server provides secure, pre-signed URL-based access to S3 bucket operations through a standardized MCP interface. It enables listing, retrieving, uploading, and deleting objects with configurable expiration times, designed to simplify cloud storage interactions for AI assistants. Built with TypeScript and AWS SDK, it offers a straightforward way to integrate S3 file management capabilities directly into conversational workflows.

## Trust

- **Trust score (0–1):** 1.00
- **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/openworkspace-aws-s3)
- **Repository:** <https://github.com/openworkspace-o1/aws-ow-s3-mcp>

## 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": "openworkspace-aws-s3"
    }
  }
}
```

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