# ai.getvda/minio-and-redis-storage-stack

> ai.getvda/minio-and-redis-storage-stack — ai-getvda-minio-and-redis-storage-stack. Use this tool when you need to deploy a scalable object storage solution with in-memory data caching, as it combines MinIO and Redis to solve data storage and retrieval problems, accepting various data formats as input and providing fast data access as output, ideal for applications requiring high-performance storage and caching in distributed environments.

Canonical page: https://skillsregistry.net/skills/ai-getvda-minio-and-redis-storage-stack  
JSON: https://api.skillsregistry.net/v1/skills/ai-getvda-minio-and-redis-storage-stack

## Description

MinIO and Redis Storage Stack

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.getvda%2Fminio-and-redis-storage-stack)

## Use it

MCP endpoint published by the skill: `https://redis-minio-stack-generator-minio-minio.getvda.ai/mcp`

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": "ai-getvda-minio-and-redis-storage-stack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-minio-and-redis-storage-stack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-minio-and-redis-storage-stack/pull`

---
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