MySQL MCP Server
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Integrations
Enables secure interaction with MySQL databases, allowing for listing tables, reading data, and executing SQL queries through a controlled interface for database exploration and analysis.
MySQL MCP Server
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases. This server allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.
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
Installing via Smithery
To install MySQL Server for Claude Desktop automatically via Smithery:
Configuration
Set the following environment variables:
Usage
With Claude Desktop
Add this to your claude_desktop_config.json
:
As a standalone server
Development
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 server requires database access to function. For security:
- Create a dedicated MySQL user with minimal permissions
- Never use root credentials or administrative accounts
- Restrict database access to only necessary operations
- Enable logging for audit purposes
- 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
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add some amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - Open a Pull Request
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Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.