Give Your AI Direct MySQL Access Without the Overhead

Most MCP servers for databases come with baggage: Node.js runtimes, Python environments, complex dependency chains. go-mcp-mysql cuts through that noise with a single Go binary that connects your AI tools directly to MySQL.

Skip the Database Dance

You know the routine. AI suggests a query, you copy-paste to MySQL Workbench, run it, copy results back, repeat. Or you build custom scripts that break when schema changes. This MCP server eliminates that back-and-forth entirely.

Your AI can now:

• Query your production database directly (with safety rails)
• Generate and execute schema migrations on the fly
• Analyze table structures and suggest optimizations
• Build reports from live data without you writing a single query

Built for Production Paranoia

Database access for AI sounds scary? The safety features have you covered:

Read-only mode locks down write operations completely. Perfect for connecting AI to production systems where you want analysis but zero risk of data changes.

Built-in EXPLAIN checking runs query plans before execution, catching potentially expensive operations before they hit your database.

Granular tool control lets you expose only specific operations - maybe just schema inspection for documentation, or full CRUD for development environments.

Real-World Scenarios Where This Shines

Database Documentation: Point your AI assistant at your database and ask it to generate up-to-date documentation. It can describe table relationships, identify missing indexes, and suggest normalization improvements.

Migration Planning: When refactoring, your AI can analyze existing schema, suggest migration steps, and even generate the ALTER statements while checking their execution plans.

Data Analysis: Skip writing custom analytics scripts. Ask your AI to analyze user behavior patterns, find data quality issues, or generate business intelligence reports directly from your database.

Development Workflow: During feature development, your AI can inspect schema, suggest optimal queries, and help debug performance issues by examining actual execution plans.

Zero-Friction Setup

No Docker containers, no virtual environments, no package managers. Download the binary, point it at your MySQL server:

go-mcp-mysql --host localhost --user myuser --pass mypass --db myapp

Or use a DSN for more control:

go-mcp-mysql --dsn "user:pass@tcp(localhost:3306)/mydb?parseTime=true"

Add --read-only for production safety or --with-explain-check for query plan validation. The server exposes nine focused tools covering everything from schema inspection to data manipulation.

Why This Beats DIY Solutions

You could write custom database integration, but you'd spend weeks handling connection pooling, query sanitization, error handling, and safety features. This server gives you battle-tested database access patterns with the security controls you actually need.

The tool separation is particularly smart - schema tools (list_database, desc_table, create_table) are distinct from data tools (read_query, write_query, update_query). Your AI gets structured access to exactly the operations you want to enable.

For teams already using MCP in their development workflow, this slots in seamlessly. For those evaluating AI-assisted database work, this removes the biggest barrier: safe, controlled access to your actual data.