mysql_mcp_server

MCP.Pizza Chef: designcomputer

The mysql_mcp_server is a Model Context Protocol (MCP) server designed to facilitate secure and structured interaction between AI applications and MySQL databases. It acts as a controlled interface that allows AI hosts and clients to explore database schemas, read table contents, and execute SQL queries with robust error handling. The server ensures secure access by leveraging environment variables for credentials and provides comprehensive logging for audit and debugging purposes. It is not intended as a standalone server but as a protocol implementation to enable safe, real-time database communication within AI-enhanced workflows.

Use This MCP server To

List MySQL database tables for AI context Read and retrieve MySQL table data securely Execute SQL queries with error handling Enable AI-driven database exploration Log database interactions for auditing Secure MySQL access via environment variables

README

Tests PyPI - Downloads smithery badge

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/yourusername/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

mysql_mcp_server FAQ

How does mysql_mcp_server secure database credentials?
It uses environment variables to securely manage MySQL access credentials, preventing hardcoding sensitive information.
Can mysql_mcp_server be used as a standalone database server?
No, it is designed as an MCP protocol implementation to facilitate communication between AI applications and MySQL databases, not as a standalone server.
How does mysql_mcp_server handle SQL query errors?
It includes proper error handling mechanisms to catch and report SQL errors back to the AI client safely.
Is logging supported in mysql_mcp_server?
Yes, it provides comprehensive logging of database interactions for debugging and audit trails.
How do I install mysql_mcp_server?
Installation details are available on its GitHub repository and PyPI page, typically via Python package installation.
Can mysql_mcp_server integrate with multiple AI LLM providers?
Yes, it supports integration with various AI hosts and clients, including those using OpenAI, Anthropic Claude, and Google Gemini models.
Does mysql_mcp_server expose all database tables automatically?
It lists available MySQL tables as resources, allowing controlled access rather than unrestricted exposure.
What programming languages is mysql_mcp_server compatible with?
It is primarily implemented in Python and designed to interface with AI applications that support MCP protocol.