Skip to main content

⚡ open-db-mcp

🔌 多数据源数据库 MCP 工具 · stdio 本地版

让 LLM Agent 安全、高效地访问你的数据库

License: MIT Python MCP Databases

简体中文 | English


📖 简介

open-db-mcp 是一个基于 Model Context Protocol (MCP) 的多数据源数据库工具,通过 stdio 本地进程与 Claude Desktop / Cursor / Trae 等 AI 客户端即插即用,向 LLM Agent 暴露受限且安全的查询与写入能力。

💡 零网络依赖 · 三层安全护栏 · 一键切换数据源 · 开箱即用


✨ 核心特性

特性 说明
🗄️ 多驱动支持 MySQL、Oracle、达梦(DM)、PostgreSQL、Vastbase、openGauss、SQLite,统一 DriverAdapter 抽象
🚀 零网络依赖 stdio 本地进程,与 Claude Desktop / Cursor / Trae 即插即用
🔄 多数据源管理 支持 datasources.json 或 Kettle 风格 jdbc.properties,一键切换数据源
🛡️ 安全护栏 三层白名单(read / write / ddl)+ WHERE 强制 + 影响行数预检 + JSONL 审计
🔒 SQL 注入防御 基于 sqlparse 的 SQL 语义分析 + 白名单校验,双保险
📦 可打包分发 PyInstaller 三平台单文件可执行,团队成员无需装 Python
🔁 事务支持 begin_transaction / commit / rollback 跨语句事务
📤 数据导入导出 CSV / JSON 格式,支持批量导入
🔍 Schema Diff 跨数据源表结构对比,列 / 索引级差异检测
🧩 插件化驱动 基于 entry_points 的驱动插件体系,易于扩展

🗄️ 支持的数据库

数据库 Driver 依赖
🐬 MySQL mysql PyMySQL + DBUtils
🔴 Oracle oracle oracledb thin 模式
🏮 达梦 DM dm JayDeBeApi + JPype1 + DmJdbcDriver jar(内置打包,自动搜索)
🐘 PostgreSQL postgres psycopg2-binary(可选)
🌊 海量数据库 Vastbase vastbase psycopg2-binary(复用 postgres 驱动)
🌿 openGauss opengauss psycopg2-binary(复用 postgres 驱动)
📦 SQLite sqlite Python stdlib

🚀 快速开始

📥 安装

git clone https://github.com/cjp1016/open-db-mcp.git
cd open-db-mcp
uv sync                  # 或 pip install -e '.[dev]'
uv run open-db-mcp init # 生成 ~/.open-db-mcp/ 配置目录
uv run open-db-mcp doctor  # 健康检查

⚙️ 配置数据源

编辑 ~/.open-db-mcp/datasources.json:

{
  "LOCAL_MYSQL": {
    "driver": "com.mysql.cj.jdbc.Driver",
    "url": "jdbc:mysql://127.0.0.1:3306/test_db?characterEncoding=utf8mb4",
    "user": "root",
    "password": "env:DB_PASSWORD",
    "pool_min": 2,
    "pool_max": 4
  }
}

🔐 密码支持 env: / keyring: / cmd: 四种安全引用方式。

🔗 注册到 MCP 客户端

Claude Desktop(~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "smart-db": {
      "command": "open-db-mcp",
      "args": ["run"],
      "env": {
        "MCP_DATASOURCES_CFG_PATH": "/path/to/your/datasources.json"
      }
    }
  }
}

Cursor(~/.cursor/mcp.json):同上结构。


🛠️ CLI 命令

命令 说明
open-db-mcp init 🎬 首次运行:引导生成配置文件
open-db-mcp doctor 🩺 健康检查:解析配置、ping 每个数据源
open-db-mcp run ▶️ 启动 stdio MCP server(被 MCP 客户端调用)
open-db-mcp list 📋 列出所有数据源与连接池状态
open-db-mcp package <target> 📦 PyInstaller 打包

🧰 MCP 工具清单(25 个)

分类 工具
🗂️ 数据源管理 list_datasources, use_datasource, get_active_datasource, add_datasource, update_datasource, remove_datasource, ping_datasource, get_pool_stats, list_drivers
🔎 元数据浏览 list_schemas, list_tables, list_indexes, describe_table, explain_query, sample_table, diff_schema
⚡ 查询执行 execute_query
✏️ DML + 事务 execute_dml, execute_ddl, begin_transaction, commit_transaction, rollback_transaction, get_transaction_status
📤 数据导入导出 export_table, import_csv

🏗️ 架构

MCP 工具层(tools/)  →  服务层(services/)  →  驱动层(drivers/)
    薄包装 + 参数解析        业务逻辑 + 校验         DB 方言适配
  • ✅ 遵循 SOLID 原则,高内聚低耦合
  • ✅ 驱动层基于 Protocol 抽象,易于扩展新数据库
  • ✅ 服务层纯业务逻辑,可独立单元测试

👨‍💻 开发

# 代码检查
ruff check src/
mypy src/

💬 联系我们

扫码添加微信,备注 open-db-mcp 加入交流群:

微信联系方式

❤️ 支持赞助

如果这个项目对你有帮助,欢迎扫码请作者喝杯咖啡 ☕

微信打赏二维码

📄 License

MIT © open-db-mcp contributors


⚡ open-db-mcp — 让 AI 与数据库安全对话

GitHub

Metadata

Release files for open-db-mcp 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for open-db-mcp 1.0.0
File Size Uploaded Provenance Actions
open_db_mcp-1.0.0.tar.gz 658.5 kB With provenance Details for open_db_mcp-1.0.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for open-db-mcp 1.0.0
File Interpreter ABI Platform Actions
open_db_mcp-1.0.0-py3-none-any.whl Python 3 none any Details for open_db_mcp-1.0.0-py3-none-any.whl

Total release size: 748.6 kB

Release files / open_db_mcp-1.0.0.tar.gz

Download URL open_db_mcp-1.0.0.tar.gz
Size 658.5 kB
Tags Source
SHA-256 checksum
How to use checksums
ea3d9981a339bed7c63c7cbf77270a72ad36493a57c5821feabe2d05f97efb6b
BLAKE2b-256 checksum
How to use checksums
79176d9ad6a60ac3a51806b9cf202ce4169dec7f229f513bd6c6be39101d4e16
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 22, 2026.

Transparency log

Release files / open_db_mcp-1.0.0-py3-none-any.whl

Download URL open_db_mcp-1.0.0-py3-none-any.whl
Size 90.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6818f6ad735baffd580d2dd352495267307b31729b9bad5f0689701210d83fa8
BLAKE2b-256 checksum
How to use checksums
816b4296e3933d8b9b81a9d0ca462ccd0d11080b1fc54fa54320955ce734acab
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 22, 2026.

Transparency log

Security for open-db-mcp 1.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for open_db_mcp-1.0.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 22, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files Full provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page