# ai.getvda/elasticsearch-redis-mysql-stack-generator

> ai.getvda/elasticsearch-redis-mysql-stack-generator — ai-getvda-elasticsearch-redis-mysql-stack-generator. Use this tool when you need to generate a scalable and efficient data storage stack, combining the search capabilities of Elasticsearch, the caching power of Redis, and the relational database management of MySQL. This tool solves problems related to data retrieval, storage, and caching, providing a robust infrastructure for applications with complex data requirements. It takes input parameters such as database schema and configuration options, and outputs a fully configured Elasticsearch, Redis, and MySQL stack.

Canonical page: https://skillsregistry.net/skills/ai-getvda-elasticsearch-redis-mysql-stack-generator  
JSON: https://api.skillsregistry.net/v1/skills/ai-getvda-elasticsearch-redis-mysql-stack-generator

## Description

Elasticsearch + Redis + MySQL Stack Generator

## 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%2Felasticsearch-redis-mysql-stack-generator)

## Use it

MCP endpoint published by the skill: `https://elasticsearch-redis-mysql-stack-generator.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-elasticsearch-redis-mysql-stack-generator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-elasticsearch-redis-mysql-stack-generator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-elasticsearch-redis-mysql-stack-generator/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
