Model Context Protocol server that exposes MySQL database operations (connect, query, execute, list/describe tables) via a standard MCP tool interface.
https://github.com/f4ww4z/mcp-mysql-serverStop writing custom database integration code every time you want your AI to query, analyze, or manipulate your MySQL data. This MCP server creates a direct, secure bridge between AI models and your MySQL databases.
You're building AI-powered applications that need database access, but end up writing the same boilerplate database wrapper code repeatedly. Or you're manually running queries, copying results, and feeding them to AI models for analysis. Meanwhile, your AI could be doing complex database operations directly if it just had the right interface.
Direct Database Operations: Your AI can connect, query, execute statements, and explore schemas without you writing a single line of database integration code.
Production-Ready Security: Built-in prepared statements prevent SQL injection, automatic connection cleanup prevents resource leaks, and environment variable support keeps credentials secure.
Complete Database Access: Not just SELECT queries—your AI can INSERT, UPDATE, DELETE, list tables, and describe schemas. Everything you need for comprehensive database operations.
Instant Data Analysis: "Analyze our user engagement patterns from the last quarter and identify retention trends." Your AI connects directly to the database, runs the complex queries, and delivers insights without you touching SQL.
Automated Reporting: Set up AI-generated reports that pull live data, perform calculations, and format results. No more manual report generation or stale exported datasets.
Schema Documentation: "Document all our database tables and their relationships." The AI explores your schema, understands the structure, and generates comprehensive documentation automatically.
Data Migration Assistance: During schema changes or data cleanup, your AI can analyze data patterns, suggest migration strategies, and even execute batch operations with proper oversight.
Database Debugging: "Find all orphaned records in the user_sessions table." Your AI can explore relationships, identify data inconsistencies, and suggest cleanup operations.
Install via Smithery (automatic Claude Desktop integration):
npx -y @smithery/cli install @f4ww4z/mcp-mysql-server --client claude
Or configure manually in your MCP settings:
{
"mcpServers": {
"mysql": {
"command": "npx",
"args": ["-y", "@f4ww4z/mcp-mysql-server", "mysql://user:password@localhost:3306/database"]
}
}
}
This server gives you five essential tools that cover every database operation:
The AI gets full database visibility while you maintain security through prepared statements and controlled access. No custom API endpoints, no additional infrastructure—just direct, safe database operations.
Your existing database permissions and access controls remain in place. The AI operates within the same constraints as any other database client, but with the intelligence to understand your data relationships and business logic.
Ready to stop being the middleman between your AI and your data? Connect your MySQL databases directly and let your AI do what it does best—analyze, understand, and act on your data autonomously.