# MySQL

> Use this tool when you need to interact with relational databases for structured data storage and retrieval. It provides a standardized interface for querying, inserting, and manipulating data in MySQL databases, with capabilities for data-driven applications like content management and user authentication. The tool accepts database queries and commands as input and returns relevant data as output, making it suitable for use cases requiring efficient and scalable data management.

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

## Description

This MySQL MCP implementation, developed using Python, provides a standardized interface for interacting with MySQL databases through the Model Context Protocol. It utilizes the mysql-connector-python library to offer MySQL functionality, enabling operations like data querying, insertion, and manipulation. The implementation is containerized using Docker for easy deployment and scalability. By abstracting MySQL interactions into an MCP interface, it allows AI systems to seamlessly work with relational database data and operations. This server is particularly useful for applications requiring structured data storage and retrieval, such as content management systems, user authentication services, or data-driven web applications.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wllcnm-mysql)
- **Repository:** <https://github.com/wllcnm/mcp-mysql>

## 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": "wllcnm-mysql"
    }
  }
}
```

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