MCP-Server-with-Claude-Ai

The MySQL MCP Server is an implementation of the Model Context Protocol (MCP) that enables secure communication between AI applications and MySQL databases. This server component facilitates safer and more structured database exploration and analysis through a controlled interface. It features secure database access via environment variables, the ability to execute SQL queries with proper error handling, and comprehensive logging.

GitHub Stars

0

User Rating

Not Rated

Forks

0

Issues

0

Views

4

Favorites

0

README

Tests 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"
      }
    }
  }
}
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
Author Information
Affan Ahmed

Currently pursuing my Bachelor's in Artificial Intelligence. Basically, I'm figuring out how computers can learn and do smart stuff.

Pakistan

0

Followers

6

Repositories

0

Gists

4

Total Contributions

Top Contributors

Threads