MCP DB Python 是一个以 Python 编写的 Model Context Protocol (MCP) 数据库服务，能够通过标准输入/输出上的 JSON-RPC 协议提供安全的数据库结构浏览与查询能力。MCP DB Python is a Python-powered Model Context Protocol (MCP) server that exposes safe database inspection and read-only querying over JSON-RPC via stdin/stdout.
本项目封装了基础的 MCP Server 启动逻辑与数据源适配层，当前聚焦 MySQL，便于在 LLM 工具链中快速调用数据库结构信息与只读查询结果。随着后续维护，接口与数据源适配将持续扩充，帮助更多场景接入 MCP 协议。
This repository packages the core MCP server loop together with database adapters focused on MySQL, making it straightforward to surface schema metadata and read-only query results inside LLM agent workflows. The API surface and connector set will keep expanding as the project is actively maintained.
- 面向 MCP 的 JSON-RPC 通信，兼容多种支持 MCP 的客户端 / MCP-compliant JSON-RPC transport ready for compatible clients.
- MySQL 表结构与存储过程元数据查询能力 / Schema and stored procedure introspection for MySQL.
- 严格的只读 SQL 校验，保障在线环境安全 / Strict read-only SQL validation to protect production data.
- 基于
.env的可配置数据源参数，便于跨环境部署 /.env-driven connector settings for seamless environment switching. - 持续维护与扩展，后续将新增更多数据库适配与工具接口 / Actively maintained roadmap toward additional connectors and tools.
- Python 3.10 及以上版本 / Python 3.10 or newer.
- 可访问的 MySQL 实例（或其他将来扩展的数据源） / Reachable MySQL instance (other engines to be added).
- 克隆仓库并进入目录 / Clone the repository and change into the project:
git clone https://github.com/your-account/mcp-db-python.git cd mcp-db-python - （可选）创建虚拟环境并激活 / (Optional) Create and activate a virtual environment:
python -m venv venv # Windows .\venv\Scripts\activate # macOS / Linux source venv/bin/activate
- 安装依赖 / Install dependencies:
pip install -r requirements.txt
- 配置数据库连接 / Configure database credentials:
- 复制或编辑
.env文件，填写DB_TYPE,DB_HOST,DB_PORT,DB_USER,DB_PASS,DB_NAME。
Update the.envfile with the rightDB_TYPE,DB_HOST,DB_PORT,DB_USER,DB_PASS, andDB_NAMEvalues.
- 复制或编辑
使用 Python 启动 MCP 服务（默认通过标准输入/输出通讯） / Launch the MCP server (communicates over stdin/stdout):
python server.py终端会输出 MCP Python Server started 等提示，随后即可通过支持 MCP 的客户端或自定义脚本发送 JSON-RPC 请求。
The console logs MCP Python Server started, after which MCP-aware clients or custom scripts can exchange JSON-RPC messages with the server.
| 方法名 / Method | 说明 / Description | 状态 / Status |
|---|---|---|
listTables |
列出当前数据库中的所有表名 / List every table in the configured database. | 已实现 / Completed |
getTableSchema |
返回指定表的字段定义与元数据 / Fetch column metadata for a given table. | 已实现 / Completed |
runQuery |
执行仅限只读的 SQL 查询并返回列与数据行 / Execute read-only SQL and return columns with rows. | 已实现 / Completed |
getProcedureDefinition |
获取指定存储过程的建造语句 / Retrieve the CREATE statement of a stored procedure. | 已实现 / Completed |
listDatabases |
列出当前连接可访问的数据库，方便跨库巡检 / List accessible databases to navigate across schemas. | 已实现 / Completed |
listViews |
查找视图名称并返回定义摘要 / Enumerate views with definition snippets. | 已实现 / Completed |
getTableStats |
汇总表的行数与数据/索引大小等统计信息 / Return row counts and size statistics for tables. | 已实现 / Completed |
getIndexInfo |
查看表上索引的列、类型与唯一性 / Inspect indexes for columns, kinds, and uniqueness. | 已实现 / Completed |
findForeignKeys |
列出外键及其关联关系 / List foreign-key constraints and relationships. | 已实现 / Completed |
getTriggers |
返回触发器列表与定义 / Fetch trigger listings and definitions. | 已实现 / Completed |
sampleRows |
抽样返回指定表的若干数据行 / Sample a handful of rows from a table. | 已实现 / Completed |
searchColumns |
关键字搜索列名或注释 / Search column names/comments by keyword. | 已实现 / Completed |
describeColumn |
输出字段类型、默认值与约束细节 / Provide type, defaults, and constraint details for a column. | 已实现 / Completed |
explainQuery |
对只读 SQL 执行 EXPLAIN，分析执行计划 / Run EXPLAIN on read-only SQL to inspect plans. | 已实现 / Completed |
listProcedures |
罗列存储过程或函数名称 / List stored procedures and functions. | 已实现 / Completed |
listUsers |
汇总实例中用户与权限信息（需相应权限） / Summarize users and privileges (where permitted). | 已实现 / Completed |
getServerStatus |
返回版本、连接数、支持引擎等服务器状态 / Return server status such as version, connections, engines. | 已实现 / Completed |
compareSchemas |
比较两个数据库或表的结构差异 / Compare schema structures between databases/tables. | 已实现 / Completed |
generateDDL |
输出完整的 CREATE TABLE 语句 / Generate full CREATE TABLE DDL. | 已实现 / Completed |
.env文件由python-dotenv自动加载，未配置的项会使用config/settings.py中的默认值。
The.envfile is loaded automatically throughpython-dotenv; unset keys fall back to the defaults inconfig/settings.py.- 目前仅实现 MySQL 连接器，若
DB_TYPE非mysql将抛出NotImplementedError。
MySQL is the only connector implemented today; otherDB_TYPEvalues raiseNotImplementedError. - 根据部署需求可在未来扩展
db_connectors/下的实现并在工具层注册更多方法。
You can extend thedb_connectors/package and register additional tools as new backends become available.
- 扩展更多数据库连接器（PostgreSQL、SQLite 等）。
Add new database connectors (PostgreSQL, SQLite, and beyond). - 丰富结构化工具与诊断接口，例如索引分析、表统计等。
Ship more structured utilities such as index analysis or table statistics. - 提供更完善的示例脚本与自动化测试。
Publish richer integration examples and automated tests.
欢迎通过 Issue 或 Pull Request 提出需求；接口会持续完善以覆盖更多数据库运维与数据洞察场景。
Feedback and contributions are welcome—new endpoints will continue to arrive to cover broader database operations and analytics use cases.
如果本项目对你有帮助，欢迎赞助支持后续维护；You can sponsor continued development if this project proves useful:
- 扫描下方微信/支付宝赞助码，或通过支付宝账号
191341025@qq.com支持我。
Scan the QR code below (WeChat/Alipay) or tip via Alipay at191341025@qq.com.
- Email: tiansenxu@gmail.com
- Email: 191341025@qq.com
任何问题、建议或合作意向都可以通过以上邮箱联系，我会尽快回复。
Feel free to reach out with questions, feature requests, or collaboration proposals at the emails above.
欢迎提交 Issue 描述使用中的问题，也欢迎直接发起 Pull Request 贡献代码。当前 main 分支已开启保护，仅仓库维护者可以直接推送，请从最新 main 创建自己的功能分支后再提交 PR；如果你需要在本仓库启用额外的受保护分支，欢迎发送邮件至上述地址与我联系。
Please open issues for bugs or ideas, and submit pull requests if you would like to contribute improvements. The main branch is protected and only maintainers can push to it; branch off main, work on your feature branch, then open a PR. If you require additional protected branches for collaboration, email me at the contacts above.