About MySQL MCP Server
MySQL MCP Server is a Java MCP server for AI assistants to explore MySQL databases through a controlled interface. Adapted from a Python implementation, it supports table discovery, data reads, and SQL queries.
Key features
- 01Lists MySQL tables as resources
- 02Reads table contents
- 03Executes SQL with error handling
- 04Configures database access via environment variables
- 05Logs operations
Use cases
- 01Browse available database tables
- 02Read table data for analysis
- 03Query a database with SQL
MCP support
The MCP server exposes MySQL table resources, table-content reading, and SQL query execution to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEThis project is a Java conversion of a Python codebase from a design-computer/mysql_mcp_server. It preserves the core functionality and logic of the original Python implementation, enabling seamless integration into Java-based environments.
This project was created as a learning exercise to explore MCP (Model Context Protocol) concepts.
I welcome suggestions, code contributions, and any help from the community to further improve the project.
To see the code differences between version 0.7 and version 0.8 of io.modelcontextprotocol.sdk:mcp-bom
compare the previous commit and the corresponding commit.
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
pip install mysql-mcp-server
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"
}
}
}
}
As a standalone server

- setup your database setting
- run Main Application
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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.