What does the AnalyticDB for MySQL MCP Server do?
It acts as a bridge between AI Agents and AnalyticDB for MySQL, allowing agents to fetch database metadata and execute SQL queries.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"aliyun_alibabacloud-adb-mysql-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"pyproject.toml"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
AnalyticDB for MySQL MCP Server is a universal interface that enables AI Agents to communicate with AnalyticDB for MySQL databases. It helps AI Agents retrieve database metadata and execute SQL operations.
Configure the server by adding an entry to your MCP client configuration file, setting environment variables for host, port, user, password, and database. Two deployment modes are supported: using a local clone of the GitHub repository with uv, or installing via pip with the adb-mysql-mcp-server package.
It acts as a bridge between AI Agents and AnalyticDB for MySQL, allowing agents to fetch database metadata and execute SQL queries.
Use either a local clone of the GitHub repository with `uv` or install via `pip install adb-mysql-mcp-server`. Then add the corresponding JSON entry to your MCP client configuration, setting the required environment variables.
The server offers three tools: `execute_sql`, `get_query_plan`, and `get_execution_plan`. Built-in resources include fetching all databases (`adbmysql:///databases`) and resource templates for tables (`adbmysql:///{schema}/tables`), DDL (`adbmysql:///{database}/{table}/ddl`), and config values (`adbmysql:///{config}/{key}/value`).
You need to install the `uv` package manager, `Node.js` (for `npx`), and the Python dependencies from `pyproject.toml`. The project source is available on GitHub.
No, prompts are not provided at the present moment.

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