# MinIO Object Storage

> Use this tool when you need to access and manage object storage from within a conversational AI interface, solving problems like data analysis and manipulation in workflows that require seamless interaction with stored data. It takes natural language inputs and provides outputs like listed buckets, object content, and upload confirmations through its stdio interface and Claude integration client. Ideal for use cases where AI assistants require direct access to MinIO object storage without leaving the conversation interface.

Canonical page: https://skillsregistry.net/skills/ucesys-minio-object-storage  
JSON: https://api.skillsregistry.net/v1/skills/ucesys-minio-object-storage

## Description

MinIO MCP Server provides AI assistants with direct access to MinIO object storage through a Python-based implementation of the Model Context Protocol. It exposes tools for listing buckets, browsing objects, retrieving content, and uploading files to MinIO instances, with automatic bucket creation when needed. The server includes both a standalone stdio interface and an Anthropic Claude integration client that allows natural language interaction with stored objects. Particularly valuable for workflows that require AI assistants to access, analyze, or manipulate data stored in MinIO without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ucesys-minio-object-storage)
- **Repository:** <https://github.com/ucesys/minio-python-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": "ucesys-minio-object-storage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ucesys-minio-object-storage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ucesys-minio-object-storage/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