# MySQL

> Use this tool when you need to interact with MySQL databases securely and efficiently, solving problems such as data management, performance optimization, and backup/restore operations. It takes database queries and credentials as inputs and outputs query results, providing a robust interface for core operations, JSON handling, and performance analysis. Ideal for use cases requiring reliable and scalable database management, such as enterprise applications and data-driven AI systems.

Canonical page: https://skillsregistry.net/skills/neverinfamous-mysql  
JSON: https://api.skillsregistry.net/v1/skills/neverinfamous-mysql

## Description

Enterprise MySQL server enabling AI assistants to interact with MySQL databases securely. Features connection pooling, granular access controls, and support for MySQL Router, ProxySQL, and MySQL Shell. Includes specialized tools organized across core operations, JSON handling, performance analysis, backup/restore, and replication management.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/neverinfamous-mysql)
- **Repository:** <https://github.com/neverinfamous/mysql-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": "neverinfamous-mysql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neverinfamous-mysql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neverinfamous-mysql/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
