# s3-mcp

> Use this tool when you need to interact with AWS S3 and compatible object stores, enabling browsing of buckets and fetching of objects for large language models (LLMs). It solves problems of object storage access and retrieval for AI applications, providing a server-based interface for LLM clients. The s3-mcp tool takes bucket and object requests as input and returns the corresponding objects, making it ideal for use cases requiring efficient object storage interaction.

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

## Description

MCP server for AWS S3 and compatible object stores, enabling LLM clients to browse buckets and fetch objects.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xg6pb4xkaz)
- **Repository:** <https://github.com/EpykLab/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": "epyklab-s3-mcp"
    }
  }
}
```

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