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MySQL: Configurable Access & Real-Time Schema Insights - MCP Implementation

MySQL: Configurable Access & Real-Time Schema Insights

Seamlessly integrate MySQL with configurable access controls and real-time schema insights—empower teams to secure, explore, and scale data effortlessly. Your rules, your way." )

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Ranked in the top 9% of all AI tools in its category

About MySQL

What is MySQL: Configurable Access & Real-Time Schema Insights?

MySQL MCP Server is a specialized interface enabling secure, structured interactions between AI systems and MySQL databases. Built on the Model Context Protocol (MCP), it allows AI assistants to dynamically list database tables, retrieve data, and execute SQL queries through a controlled layer. Key features include environment-variable based authentication, real-time schema awareness, and comprehensive logging—ensuring both security and operational transparency.

How to Use MySQL: Configurable Access & Real-Time Schema Insights?

Adopt the server in two primary workflows:

  • Claude Desktop Integration: Configure claude_desktop_config.json with server command args and environment variables for instant connectivity.
  • Standalone Execution: Install dependencies via pip, then launch the server directly from the command line with configured credentials.

Environmental variables such as MYSQL_HOST and MYSQL_PASSWORD must be set prior to initialization to ensure secure access.

MySQL Features

Key Features of MySQL: Configurable Access & Real-Time Schema Insights

This solution offers:

  • Granular Resource Discovery: Dynamically enumerate database tables and schemas in real time.
  • Query Execution with Safeguards: Execute SQL commands with built-in error handling and syntax validation.
  • Layered Security: Isolate credentials via environment variables and enforce role-based permissions to minimize attack surfaces.
  • Action Tracking: Detailed audit logs for every operation, aiding in compliance and troubleshooting.

Use Cases of MySQL: Configurable Access & Real-Time Schema Insights

Common applications include:

  • AI-Powered Data Exploration: Enable chatbots or analytics tools to safely query databases without direct access.
  • Automated Reporting: Generate dynamic reports by programmatically executing structured queries.
  • Development Environments: Safely test database interactions within CI/CD pipelines using restricted user accounts.
  • Compliance Audits: Track all database interactions through centralized logging for regulatory requirements.

MySQL FAQ

FAQ from MySQL: Configurable Access & Real-Time Schema Insights

  • How do I secure credentials? Store sensitive data in environment variables instead of hardcoding them. Never include these in version control systems.
  • Can I restrict query types? Yes—implement query whitelisting via custom validation middleware for production deployments.
  • What logging mechanisms are available? All operations are recorded with timestamps, user context, and outcome details for audit purposes.
  • How do I contribute code? Fork the repository, develop features in isolated branches, and submit pull requests for review. See the contribution guide for details.

Content

Tests

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

bash pip install mysql-mcp-server

Configuration

Set the following environment variables:

bash MYSQL_HOST=localhost MYSQL_USER=your_username MYSQL_PASSWORD=your_password MYSQL_DATABASE=your_database

Usage

With Claude Desktop

Add this to your claude_desktop_config.json:

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

As a standalone server


# Install dependencies

pip install -r requirements.txt

# Run the server

python -m mysql_mcp_server ```

## Development

```bash

# 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 server 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](https://github.com/designcomputer/mysql_mcp_server/blob/main/SECURITY.md) 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

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