MySQL MCP Server
Enables AI assistants to directly query MySQL databases, list tables, and view table structures through natural language.
README
MySQL MCP Server
MySQL MCP Server 是一个为 Cursor 编辑器设计的 Model Context Protocol (MCP) 服务器,让 AI 助手能够直接查询 MySQL 数据库。
✨ 功能特性
- 🔍 执行 SQL 查询
- 📋 列出所有数据表
- 📊 查看表结构
- 🔒 安全的环境变量配置
- ⏱️ 可配置查询超时,防止SQL卡死
- 🚀 开箱即用,通过 npx 快速启动
📦 安装
方式 1: 使用 npx (推荐)
无需安装,直接在 mcp.json 中配置:
{
"mcpServers": {
"mysql": {
"command": "npx",
"args": ["-y", "@keevor/mysql-mcp-server"],
"env": {
"DB_HOST": "localhost",
"DB_PORT": "3306",
"DB_USER": "root",
"DB_PASSWORD": "your_password",
"DB_DATABASE": "your_database",
"DB_QUERY_TIMEOUT": "10"
}
}
}
}
方式 2: 全局安装
npm install -g @keevor/mysql-mcp-server
然后在 mcp.json 中配置:
{
"mcpServers": {
"mysql": {
"command": "mysql-mcp-server",
"env": {
"DB_HOST": "localhost",
"DB_PORT": "3306",
"DB_USER": "root",
"DB_PASSWORD": "your_password",
"DB_DATABASE": "your_database",
"DB_QUERY_TIMEOUT": "10"
}
}
}
}
🔧 配置说明
通过环境变量配置数据库连接:
| 环境变量 | 必需 | 默认值 | 说明 |
|---|---|---|---|
DB_HOST |
✅ 是 | - | 数据库主机地址 |
DB_PORT |
❌ 否 | 3306 | 数据库端口 |
DB_USER |
✅ 是 | - | 数据库用户名 |
DB_PASSWORD |
❌ 否 | "" | 数据库密码 |
DB_DATABASE |
✅ 是 | - | 数据库名称 |
DB_CHARSET |
❌ 否 | utf8mb4 | 字符集 |
DB_QUERY_TIMEOUT |
❌ 否 | 10 | 查询超时时间(秒) |
🛠️ 可用工具
在 Cursor 中,AI 可以调用以下工具:
1. query - 执行 SQL 查询
// 示例
query({ sql: "SELECT * FROM users LIMIT 10" })
2. list_tables - 列出所有数据表
// 示例
list_tables()
3. describe_table - 查看表结构
// 示例
describe_table({ table: "users" })
📍 配置文件位置
在 Cursor 中,mcp.json 配置文件的位置:
- Windows:
%APPDATA%\Cursor\User\globalStorage\rooveterinaryinc.roo-cline\settings\mcp.json - macOS:
~/Library/Application Support/Cursor/User/globalStorage/rooveterinaryinc.roo-cline/settings/mcp.json - Linux:
~/.config/Cursor/User/globalStorage/rooveterinaryinc.roo-cline/settings/mcp.json
🚀 使用示例
在 Cursor 中配置好 MCP 服务器后,你可以这样与 AI 对话:
"查询 users 表中的所有数据"
"列出数据库中的所有表"
"查看 orders 表的结构"
🔒 安全提示
- ⚠️ 不要在公开的代码仓库中提交包含数据库密码的
mcp.json文件 - ⚠️ 建议使用只读账户或限制权限的数据库账户
- ⚠️ 在生产环境中使用时要特别小心
📝 许可证
MIT License
🤝 贡献
欢迎提交 Issue 和 Pull Request!
📧 联系方式
如有问题,请在 GitHub 上提交 Issue。
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