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
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"aliyun_alibabacloud-adb-mysql-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"pyproject.toml"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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