Go MySQL MCP Server

Overview

The go‑mcp‑mysql server provides a zero‑overhead, ready‑to‑run Model Context Protocol (MCP) endpoint that lets AI assistants perform database operations against a MySQL instance without the need for a Node.js or Python runtime. By exposing a set of well‑defined tools, it allows conversational agents to read from and write to MySQL tables, manage schemas, and even validate query plans before execution—all within a single, lightweight binary written in Go.

This MCP solves the friction that often accompanies database integration in AI workflows. Developers can define a single entry in their configuration and hand off database access to an LLM, which can then invoke CRUD tools or schema utilities through natural language prompts. The server’s read‑only flag is a safety feature that restricts the tool set to non‑destructive operations, preventing accidental data loss during exploratory or testing phases. Conversely, the flag adds a layer of performance assurance by automatically prefixing write queries with an , ensuring that generated plans match expected patterns before any data is altered.

Key capabilities are grouped into schema tools and data tools. Schema tools include , , , , and , enabling agents to discover database structures, create new tables, or modify existing ones while safeguarding against destructive commands. Data tools—, , , and —cover the full CRUD spectrum, each exposing a single parameter and returning either result sets or affected row counts. The server also supports optional flags for read‑only mode and explain checks, giving developers fine‑grained control over safety and performance.

Real‑world scenarios that benefit from this MCP include automated data pipelines where an LLM generates SQL to ingest logs, dashboards that let users query live metrics via natural language, or educational tools that allow students to practice SQL without manual setup. In CI/CD pipelines, the server can be spun up as a temporary service to validate schema migrations or run regression tests against a staging database. Because the server is written in Go, it compiles to a single static binary that can run on any platform with minimal dependencies, simplifying deployment in containerized or serverless environments.

In summary, go‑mcp‑mysql bridges the gap between conversational AI and relational data by offering a secure, performant, and developer‑friendly MCP implementation. Its lightweight design, combined with safety flags and a rich set of database tools, makes it an attractive choice for any project that wants to empower AI assistants with direct, controlled access to MySQL databases.