Alibabacloud Rds Openapi MCP Server

🚀 Alibaba Cloud RDS OpenAPI MCP Server

Provide an MCP server for RDS services through OPENAPI interfaces.

🚀 Quick Start

Prerequisites

1. Install uv using Astral or GitHub README.
2. Install Python using uv python install 3.12.
3. Have credentials to access Alibaba Cloud RDS services.

Using cherry-studio (Recommended)

Install the MCP environment according to the Cherry-Studio documentation, then configure and use RDS MCP. Add the following content to the MCP client configuration file:

"mcpServers": {
  "rds-openapi-mcp-server": {
    "command": "uvx",
    "args": [
      "alibabacloud-rds-openapi-mcp-server@latest"
    ],
    "env": {
      "ALIBABA_CLOUD_ACCESS_KEY_ID": "access_id",
      "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "access_key",
      "ALIBABA_CLOUD_SECURITY_TOKEN": "sts_security_token" // Optional, required when using STS Token
    }
  }
}

Using Command-Line Tools

# Download and install the uv tool
curl -L https://github.com/astral-sh/uv/releases/download/v0.36.1/uv-linux-amd64.tar.gz | tar xz
chmod +x uv

# Create a configuration file
uv init --type=rds

# Start the MCP service
uv start

✨ Features

Tools

• Create Database Instance: create_db_instance - Initialize an RDS instance.
• Get Instance Information: get_db_instance_info - Query RDS instance details.
• Query Monitoring Data: query_monitor_data - Get RDS monitoring metrics.
• Performance Analysis: analyze_performance - Evaluate the RDS performance status.
• Backup Management: manage_backup - Manage RDS backup tasks.

Skills

Skill 1: Problem Decomposition and Analysis

• Deeply decompose user problems to identify core requirements and potential steps.
• Provide clear task decomposition to ensure each step supports the final solution.

Skill 2: RDS MCP Tool Invocation

• Skillfully use RDS MCP tools to obtain database information or perform operations.
• Tool invocations must comply with task decomposition and be based on reasonable logical reasoning and customer needs.

Skill 3: Time Parsing and Calculation

• Accurately parse relative time concepts such as "today", "yesterday", etc.
• Convert relative time expressions into precise time ranges to support data queries or operations.

🤝 Contribution

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository.
2. Create a feature branch (git checkout -b feature/amazing-feature).
3. Commit your changes (git commit -m 'Add some amazing features').
4. Push to the branch (git push origin feature/amazing-feature).
5. Open a Pull Request.

📄 License

This project is licensed under the Apache 2.0 license.