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Alibaba Cloud RDS OpenAPI MCP Server

MCP Server

Manage Alibaba Cloud RDS via OpenAPI from your local dev environment

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Updated Sep 8, 2025

About

The MCP server provides a lightweight interface to Alibaba Cloud RDS services, exposing OpenAPI endpoints for creating, configuring, and managing database instances directly from local tools such as Cherry Studio or Cline. It simplifies RDS operations without manual console use.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

cherry_config

Overview

The Alibaba Cloud RDS OpenAPI MCP Server bridges the gap between AI assistants and Alibaba Cloud’s Relational Database Service (RDS) by exposing a rich set of database‑management operations as first‑class MCP tools. Developers can now let Claude, Qwen or other model‑centric assistants perform real‑world database tasks—such as provisioning new instances, managing security settings, or tagging resources—without leaving the conversational interface. This eliminates manual portal navigation and reduces context switching, enabling rapid prototyping, automated scaling, and streamlined DevOps workflows.

At its core, the server translates OpenAPI calls into concrete RDS actions. Each tool corresponds to a specific REST endpoint: , , , and more. When an assistant invokes a tool, the MCP server authenticates using Alibaba Cloud credentials (AK/SK or optional STS tokens), forwards the request to the RDS API, and streams back a structured response. Because the server runs as a lightweight stdio process, it can be launched from any MCP‑compatible client—Cherry Studio, Cline, or a custom Python script—making it highly portable across development environments.

Key capabilities include:

  • Dynamic provisioning: Create and configure new RDS instances on demand, supporting multiple database engines and regions.
  • Security management: Allocate public connections, attach whitelist templates, and create instance accounts to enforce access controls.
  • Resource tagging: Add descriptive tags to instances for cost allocation, monitoring, and compliance.
  • Bulk queries: Retrieve all whitelist templates or instance details to inform decision‑making within the assistant.

Real‑world use cases span from continuous integration pipelines that spin up temporary databases for test runs, to incident response bots that quickly provision a secure staging environment when diagnosing production issues. Data‑science teams can also leverage the tool to spin up new analytic clusters or attach additional security groups without manual console interaction.

Integration with AI workflows is seamless: a user can simply ask, “Create an RDS instance for PostgreSQL in us‑east-1 with 2 GB RAM,” and the assistant will trigger , handling authentication, parameter validation, and error reporting. The server’s streaming responses keep the conversation responsive, while the structured output allows downstream logic to further process or store the results. By encapsulating complex cloud operations behind intuitive tool calls, the Alibaba Cloud RDS MCP Server empowers developers to harness database capabilities directly from their preferred AI assistant.