About mysql-mcp-pro
mysql-mcp-pro is a MySQL MCP server for AI assistants that need to inspect and operate databases. It combines query and schema tools with transactions, safety controls, exports, and audit history.
Key features
- 01Parameterized SQL execution
- 02Read-only query tools
- 03Transactions and connection pooling
- 04Schema and ER graph browsing
- 05CSV and JSON exports
- 06Safety limits and audit logs
Use cases
- 01Inspect database schemas and relationships
- 02Run guarded SQL and manage transactions
- 03Analyze query plans and export results
- 04Review session query history and audit logs
MCP support
It exposes MySQL operations as MCP tools, database metadata and ER data as resources, and SQL-generation and analysis templates as prompts. It supports stdio, SSE, and streamable-http transports.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmysql-mcp-pro
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 为 .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
databaseargument. - 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
EXPLAINon 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_idfor 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 SQLlist_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 / offsetcount_rows— 统计行数(支持可选 WHERE)
分析 & 导出
explain_query—EXPLAIN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_idcommit_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 SQLoptimize_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:
- 新功能带测试用例
- 现有测试全部通过
- 遵循现有代码风格
📄 License
Comments
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