# MySQL Manager (Qwen)

> Use this tool when you need to manage MySQL databases through natural language interfaces, execute database operations, or perform data analysis tasks. It solves problems related to database administration, query execution, and data manipulation, providing a conversational agent that understands natural language requests. The tool accepts natural language inputs and outputs database query results, making it ideal for use cases where users prefer intuitive interfaces over direct SQL commands.

Canonical page: https://skillsregistry.net/skills/floatdreamwithsong-mysql-qwen-manager  
JSON: https://api.skillsregistry.net/v1/skills/floatdreamwithsong-mysql-qwen-manager

## Description

This MCP server provides MySQL database management capabilities through a Mastra-based agent system that integrates with Qwen AI models for intelligent database operations. Built as part of an ECNU lab project, it combines a custom MySQL MCP server with tools for database queries, schema management, and data manipulation, alongside a conversational agent that can understand natural language requests and execute appropriate database operations. The implementation features security controls, pagination support, comprehensive logging, and memory persistence through LibSQL storage, making it valuable for database administration tasks, data analysis workflows, and educational scenarios where users need to interact with MySQL databases through natural language interfaces rather than direct SQL commands.

## Trust

- **Trust score (0–1):** 0.80
- **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/floatdreamwithsong-mysql-qwen-manager)
- **Repository:** <https://github.com/floatdreamwithsong/mysql-mcp-server-qwen-manager>

## 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": "floatdreamwithsong-mysql-qwen-manager"
    }
  }
}
```

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