AnalyticDB for MySQL MCP Server

What does “AnalyticDB for MySQL” MCP Server do?

AnalyticDB for MySQL MCP Server acts as a universal interface that bridges AI agents and Alibaba Cloud’s AnalyticDB for MySQL databases. By implementing the Model Context Protocol (MCP), this server enables seamless communication between AI assistants and AnalyticDB for MySQL, allowing agents to retrieve database metadata and execute SQL operations. This integration is particularly useful for enhancing the capabilities of AI-driven applications in tasks such as database querying, management, and analytics, facilitating more advanced, context-aware, and automated workflows for developers and data engineers.

List of Prompts

No information about prompt templates is provided in the repository.

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List of Resources

No specific resources are documented or described in the available files.

List of Tools

The documentation references “Tools” as a component, but does not enumerate or describe specific tools provided by the AnalyticDB for MySQL MCP Server.

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Use Cases of this MCP Server

• Database Metadata Retrieval: Enables AI agents to access and retrieve metadata from AnalyticDB for MySQL, such as schema information, aiding in automated data exploration.
• Automated SQL Execution: Allows AI-driven applications to execute SQL queries, supporting use cases like data analysis, reporting, and business intelligence.
• Database Management: Facilitates AI-enabled management tasks, such as monitoring, diagnostics, and routine operations on AnalyticDB for MySQL.
• Integration with AI Development Flows: Connects AnalyticDB for MySQL with AI development platforms, supporting enhanced data-driven workflows and real-time analytics.
• MCP Inspector Debugging: Supports local debugging with MCP Inspector, making it easier for developers to build, test, and deploy custom MCP integrations for AnalyticDB.

How to set it up

Windsurf

1. Prerequisites: Ensure you have Node.js, uv package manager, and access to the MCP client configuration file.
2. Download the repository:
   git clone https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server
3. Update configuration file: Add the following configuration:

   {
     "mcpServers": {
       "adb-mysql-mcp-server": {
         "command": "uv",
         "args": [
           "--directory",
           "/path/to/alibabacloud-adb-mysql-mcp-server",
           "run",
           "adb-mysql-mcp-server"
         ],
         "env": {
           "ADB_MYSQL_HOST": "host",
           "ADB_MYSQL_PORT": "port",
           "ADB_MYSQL_USER": "database_user",
           "ADB_MYSQL_PASSWORD": "database_password",
           "ADB_MYSQL_DATABASE": "database"
         }
       }
     }
   }
   

4. Save and restart Windsurf if necessary.
5. Verify the server is running and accessible.

Claude

1. Prerequisites: Have Python/pip, Node.js, and MCP client config access.
2. Install via pip:
   pip install adb-mysql-mcp-server
3. Update configuration:

   {
     "mcpServers": {
       "adb-mysql-mcp-server": {
         "command": "uv",
         "args": [
           "run",
           "--with",
           "adb-mysql-mcp-server",
           "adb-mysql-mcp-server"
         ],
         "env": {
           "ADB_MYSQL_HOST": "host",
           "ADB_MYSQL_PORT": "port",
           "ADB_MYSQL_USER": "database_user",
           "ADB_MYSQL_PASSWORD": "database_password",
           "ADB_MYSQL_DATABASE": "database"
         }
       }
     }
   }
   

4. Save and restart Claude as needed.
5. Verify successful connection.

Cursor

1. Prerequisites: Ensure Node.js, pip, and uv are available.
2. Clone or install:
   git clone https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server
   or
   pip install adb-mysql-mcp-server
3. Configure Cursor’s MCP integration using the JSON config above.
4. Save and reload Cursor.
5. Check if the server appears in your tools.

Cline

1. Prerequisites: MCP client config access, Node.js, pip, and uv.
2. Install or clone as in previous platforms.
3. Edit configuration file to match the JSON above, setting proper database environment variables.
4. Restart Cline to load the new MCP server.
5. Test the setup by running a sample query.

Securing API Keys:
All platforms support environment variables for secure handling of sensitive credentials:

"env": {
  "ADB_MYSQL_HOST": "host",
  "ADB_MYSQL_PORT": "port",
  "ADB_MYSQL_USER": "database_user",
  "ADB_MYSQL_PASSWORD": "database_password",
  "ADB_MYSQL_DATABASE": "database"
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "adb-mysql-mcp-server": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “adb-mysql-mcp-server” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion:
This MCP server offers solid integration instructions and a clear overview for connecting AI assistants to AnalyticDB for MySQL, but lacks documentation on prompt templates, explicit tools, or resource structures. It is best suited for developers already familiar with the MCP standard and interested in database-AI integrations, but would benefit from more comprehensive documentation and examples.

MCP Score

Rating: 4/10
While the MCP server is open-source and has some adoption, the lack of detailed documentation for prompts, tools, and resources limits its usability for new users and broader integration scenarios.