What is MySQL Database Integration

MySQL MCP Server is a Model Context Protocol implementation designed for secure interactions with MySQL databases. It facilitates structured communication between AI applications and MySQL databases, enhancing safety and control over database exploration and analysis.

Use cases

The server enables various use cases such as listing MySQL tables, reading table contents, executing SQL queries with error handling, and providing secure access to databases through environment variables, making it suitable for AI applications that require structured data access.

How to use

To use MySQL MCP Server, you need to configure environment variables for your database connection and integrate it with applications like Claude Desktop or Visual Studio Code by specifying the server command and required arguments in their respective configuration files.

Key features

Key features include listing available MySQL tables, reading table contents, executing SQL queries with proper error handling, ensuring secure database access through configuration of environment variables, and providing comprehensive logging for monitoring database operations.

Where to use

MySQL MCP Server is intended for integration with AI applications, such as Claude Desktop and other development environments that support MCP protocols. It is not meant to be used as a standalone server but rather as a backend communication layer for controlled interactions with MySQL databases.

MySQL MCP Server

A Model Context Protocol (MCP) implementation that enables secure interaction with MySQL databases. This server component facilitates communication between AI applications (hosts/clients) and MySQL databases, making database exploration and analysis safer and more structured through a controlled interface.

Note: MySQL MCP Server is not designed to be used as a standalone server, but rather as a communication protocol implementation between AI applications and MySQL databases.

Features

• List available MySQL tables as resources
• Read table contents
• Execute SQL queries with proper error handling
• Secure database access through environment variables
• Comprehensive logging

Installation

Manual Installation

pip install mysql-mcp-server

Installing via Smithery

To install MySQL MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mysql-mcp-server --client claude

Configuration

Set the following environment variables:

MYSQL_HOST=localhost     # Database host
MYSQL_PORT=3306         # Optional: Database port (defaults to 3306 if not specified)
MYSQL_USER=your_username
MYSQL_PASSWORD=your_password
MYSQL_DATABASE=your_database

Usage

With Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "mysql": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/mysql_mcp_server",
        "run",
        "mysql_mcp_server"
      ],
      "env": {
        "MYSQL_HOST": "localhost",
        "MYSQL_PORT": "3306",
        "MYSQL_USER": "your_username",
        "MYSQL_PASSWORD": "your_password",
        "MYSQL_DATABASE": "your_database"
      }
    }
  }
}

With Visual Studio Code

Add this to your mcp.json:

{
  "servers": {
    "mysql": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "--from",
        "mysql-mcp-server",
        "mysql_mcp_server"
      ],
      "env": {
        "MYSQL_HOST": "localhost",
        "MYSQL_PORT": "3306",
        "MYSQL_USER": "your_username",
        "MYSQL_PASSWORD": "your_password",
        "MYSQL_DATABASE": "your_database"
      }
    }
  }
}

Note: Will need to install uv for this to work

Debugging with MCP Inspector

While MySQL MCP Server isn’t intended to be run standalone or directly from the command line with Python, you can use the MCP Inspector to debug it.

The MCP Inspector provides a convenient way to test and debug your MCP implementation:

# Install dependencies
pip install -r requirements.txt
# Use the MCP Inspector for debugging (do not run directly with Python)

The MySQL MCP Server is designed to be integrated with AI applications like Claude Desktop and should not be run directly as a standalone Python program.

Development

# Clone the repository
git clone https://github.com/designcomputer/mysql_mcp_server.git
cd mysql_mcp_server
# Create virtual environment
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows
# Install development dependencies
pip install -r requirements-dev.txt
# Run tests
pytest

Security Considerations

• Never commit environment variables or credentials
• Use a database user with minimal required permissions
• Consider implementing query whitelisting for production use
• Monitor and log all database operations

Security Best Practices

This MCP implementation requires database access to function. For security:

1. Create a dedicated MySQL user with minimal permissions
2. Never use root credentials or administrative accounts
3. Restrict database access to only necessary operations
4. Enable logging for audit purposes
5. Regular security reviews of database access

See MySQL Security Configuration Guide for detailed instructions on:

• Creating a restricted MySQL user
• Setting appropriate permissions
• Monitoring database access
• Security best practices

⚠️ IMPORTANT: Always follow the principle of least privilege when configuring database access.

License

MIT License - see LICENSE file for details.

Contributing

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