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A production-grade MySQL MCP server with connection pooling, transactions, EXPLAIN analysis, CSV/JSON export, ER graph, audit log, and prompt templates. No hardcoded credentials; credentials via environment variables.

Project description

mysql-mcp-pro

🇺🇸 English version available here

License: MIT Python 3.10+ MCP

一个生产级的 MySQL MCP Server,让 AI 助手(Claude Desktop / WorkBuddy / Cursor / Cline 等)通过标准化协议安全高效地操作 MySQL 数据库。

✨ 为什么选 mysql-mcp-pro?

相比社区其他 MySQL MCP 实现,本项目提供了更完整的能力集:

特性 mysql-mcp-pro 其他 MCP
连接池(减少握手开销)
事务支持(begin/commit/rollback)
EXPLAIN 自动解读
结果导出 CSV/JSON(Excel 友好 BOM)
ER 关系图数据(nodes/edges) 少数
视图 / 存储过程 / 函数 / 触发器 浏览 少数
查询历史 & 审计日志
MCP Prompts 模板(生成/优化/对比/概览)
安全分级(只读/DDL/危险语句/超时/行限/参数化) 基础
多传输模式(stdio / SSE / streamable-http) 部分

🚀 快速开始

1. 安装

# 从源码(推荐先 clone 再使用)
git clone https://github.com/CCCT173/mysql-mcp-pro.git
cd mysql-mcp-pro
pip install -e .

# 或从 PyPI(待发布)
pip install mysql-mcp-pro

2. 配置环境变量

复制 .env.example.env 并编辑:

MYSQL_HOST=localhost
MYSQL_PORT=3306
MYSQL_USER=root
MYSQL_PASSWORD=your_password
MYSQL_DATABASE=your_database

READ_ONLY=false         # 只读模式
ALLOW_DDL=false          # 是否允许 CREATE/ALTER/DROP
MAX_RESULT_ROWS=1000     # 单次查询最大返回行数
QUERY_TIMEOUT=30         # 查询超时(秒)

POOL_SIZE=5
AUDIT_LOG=true           # 审计日志
EXPORT_DIR=./exports     # 导出目录

3. 在你的 MCP 客户端注册

WorkBuddy

编辑 ~/.workbuddy/mcp.json

{
  "mcpServers": {
    "mysql": {
      "command": "python",
      "args": ["-m", "server"],
      "cwd": "D:/path/to/mysql-mcp-pro",
      "env": {
        "MYSQL_HOST": "localhost",
        "MYSQL_PORT": "3306",
        "MYSQL_USER": "root",
        "MYSQL_PASSWORD": "your_password",
        "MYSQL_DATABASE": "your_database"
      }
    }
  }
}

或者如果你已经 pip install -e .

{
  "mcpServers": {
    "mysql": {
      "command": "mysql-mcp-pro",
      "env": {
        "MYSQL_HOST": "localhost",
        "MYSQL_PORT": "3306",
        "MYSQL_USER": "root",
        "MYSQL_PASSWORD": "your_password",
        "MYSQL_DATABASE": "your_database"
      }
    }
  }
}

Claude Desktop

编辑 ~/Library/Application Support/Claude/claude_desktop_config.json(macOS)或 %APPDATA%/Claude/claude_desktop_config.json(Windows):

{
  "mcpServers": {
    "mysql": {
      "command": "mysql-mcp-pro",
      "env": {
        "MYSQL_HOST": "localhost",
        "MYSQL_PORT": "3306",
        "MYSQL_USER": "root",
        "MYSQL_PASSWORD": "your_password",
        "MYSQL_DATABASE": "your_database",
        "READ_ONLY": "true"
      }
    }
  }
}

Cursor / Cline

在项目根目录创建 .cursor/mcp.json(Cursor)或在 Cline 设置中添加,格式同上。

Tools

Tools are automatically extracted by MCP registries (Smithery, mcp.so, glama, etc.).

  • ping — Test MySQL connection; returns server version and connection-pool stats.
  • get_server_status — Key MySQL status metrics (connections, QPS, slow queries, InnoDB rows, traffic).
  • list_databases — List all databases (system vs user).
  • list_tables — List tables with engine, row count, size, comment. Optional database argument.
  • describe_table — Show table schema: columns, primary key, indexes, foreign keys, CREATE SQL. Arguments: table (required), database (optional).
  • list_views — List views in the database.
  • list_routines — List stored procedures or functions. Arguments: routine_type (PROCEDURE/FUNCTION), database.
  • list_triggers — List triggers in the database.
  • er_graph — Cross-table foreign-key graph as nodes + edges, ready for ER diagrams.
  • execute_query — Execute any SQL (read/write/DDL, safety-guarded), parameterized. Arguments: sql, database, params, session_id.
  • execute_select — Read-only SELECT/SHOW/DESCRIBE/EXPLAIN with extra safety layer. Arguments: sql, database, params, limit.
  • get_table_data — Quick paginated table fetch. Arguments: table, columns, where, order_by, limit, offset.
  • count_rows — Count rows in a table with optional WHERE. Arguments: table, database, where.
  • explain_query — Run EXPLAIN on a query and return plain-language performance insights. Arguments: sql, database, params, format.
  • export_query — Export SELECT results to a CSV (UTF-8 BOM, Excel-friendly) or JSON file. Arguments: sql, filename, format (csv/json), database, params.
  • list_query_history — Recent SQL executed in this session (duration, row count, errors). Argument: limit.
  • begin_transaction — Start a new transaction; returns a session_id for chained calls. Argument: database.
  • commit_transaction — Commit an open transaction. Argument: session_id.
  • rollback_transaction — Rollback an open transaction. Argument: session_id.
  • show_processlist — Show the current MySQL process list (SHOW FULL PROCESSLIST).
  • kill_query — Kill a MySQL process (requires SUPER privilege). Argument: process_id.

🛠 工具一览(25 个)

连接 & 状态

  • ping — 测试连接、返回服务器版本与连接池状态
  • get_server_status — MySQL 关键指标(连接数、QPS、慢查询、流量等)

元数据浏览

  • list_databases — 列出所有数据库(区分系统库 / 用户库)
  • list_tables — 列出表,含引擎、行数、大小、注释
  • describe_table — 表结构:字段、主键、索引、外键、建表 SQL
  • list_views — 列出视图
  • list_routines — 列出存储过程 / 函数
  • list_triggers — 列出触发器
  • er_graph — 跨表外键关系(nodes + edges),便于画 ER 图

查询执行

  • execute_query — 执行任意 SQL(读/写/DDL,受安全策略约束),支持参数化
  • execute_select — 只读 SELECT 专用(即使配置错误也只允许读)
  • get_table_data — 快速取数:columns / where / order_by / limit / offset
  • count_rows — 统计行数(支持可选 WHERE)

分析 & 导出

  • explain_queryEXPLAIN 执行计划 + 中文性能洞察
  • export_query — 结果导出 CSV(UTF-8 BOM,Excel 友好)或 JSON 文件
  • list_query_history — 本会话 SQL 历史(耗时 / 行数 / 错误)

事务

  • begin_transaction — 开启事务,返回 session_id
  • commit_transaction — 提交事务
  • rollback_transaction — 回滚事务

监控 & 管理

  • show_processlist — 当前 MySQL 进程列表
  • kill_query — Kill 指定进程(需要 SUPER 权限)

MCP Resources(4 个)

  • mysql://databases — 数据库列表
  • mysql://tables/{database} — 表列表
  • mysql://schema/{database}/{table} — 表结构
  • mysql://er/{database} — ER 关系图数据

MCP Prompts(4 个模板)

  • generate_query — 根据自然语言和表信息生成 SQL
  • optimize_sql — 分析并优化现有 SQL 性能
  • compare_schema — 对比两张表的结构差异
  • database_summary — 数据库整体概览报告

🔒 安全模型

危险语句(GRANT/REVOKE/SHUTDOWN/KILL/FLUSH/RESET)→ 永远禁止
DDL(CREATE/ALTER/DROP/RENAME/TRUNCATE)            → 由 ALLOW_DDL 控制
写操作(INSERT/UPDATE/DELETE)                       → 由 READ_ONLY 控制
读操作(SELECT/SHOW/DESCRIBE/EXPLAIN)               → 永远允许
  • 参数化查询 %s 占位符,杜绝 SQL 注入
  • 结果集默认 1000 行上限,防止意外返回海量数据
  • 服务端 MAX_EXECUTION_TIME 强制查询超时
  • 所有执行 SQL 落盘到 exports/audit.log

📁 项目结构

mysql-mcp-pro/
├── server.py              # MCP 服务器(连接池 / 事务 / 导出 / 审计)
├── pyproject.toml         # 包元数据,入口 mysql-mcp-pro
├── .env.example           # 环境变量模板
├── LICENSE                # MIT
├── README.md / README.en.md
└── scripts/
    ├── setup_test_db.py   # 创建 mcp_test 样例数据库
    ├── test_v2.py         # 53 项回归测试
    └── diag.py            # MySQL 握手包诊断工具

🧪 本地测试

# 1. 创建样例数据库(mcp_test,users + orders 表,带外键)
python scripts/setup_test_db.py

# 2. 跑全量回归测试
python scripts/test_v2.py
# → 53 passed, 0 failed

🤝 贡献

欢迎提 issue 和 PR!请确保:

  1. 新功能带测试用例
  2. 现有测试全部通过
  3. 遵循现有代码风格

📄 License

MIT

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