MySQL & PostgreSQL MCP Server

MySQL & PostgreSQL MCP Server

The MySQL & PostgreSQL MCP Server is a read‑only Model Context Protocol endpoint that lets AI assistants query database metadata and execute safe, non‑destructive SQL statements. By exposing a rich set of tools over MCP, the server removes the need for custom database adapters in client code and gives developers a single, consistent interface to interrogate any MySQL or PostgreSQL instance.

This server solves the common pain point of “how do I let an AI assistant explore a database without risking accidental data modification?” It guarantees safety by restricting every tool to read‑only operations—SELECT, SHOW, DESCRIBE, EXPLAIN, and their batch counterparts. The design also keeps schema discovery fast and expressive: developers can pull a full table list, column types, index definitions, foreign‑key constraints, or even compare two schemas in one request. For AI workflows that need to reason about relationships, the and tools automatically surface explicit foreign‑key links, while optional heuristics can hint at implicit naming conventions.

Key capabilities include:

• Schema & Metadata – Retrieve granular column details, index maps, constraint lists, or a JSON/mermaid representation of the entire ER diagram.
• Query Execution – Run arbitrary read‑only queries, batch them, or prepare parameterised statements. The tool returns execution plans in text or JSON, enabling AI assistants to analyze performance.
• Performance Monitoring – Fetch global status variables such as uptime, thread count, or query throughput to surface operational health in conversational contexts.
• Schema Comparison & Change Detection – Compare two database snapshots or capture a current schema snapshot for audit purposes.

Real‑world scenarios are plentiful. A data analyst can ask the AI “Show me all tables that reference ” and receive a concise list instantly. A developer building a schema‑driven API can request and embed an ER diagram directly into documentation. A DevOps engineer can prompt the assistant to “Explain why query X is slow” and get both the raw plan and a high‑level summary. Because the server operates over MCP, any client—be it Claude, ChatGPT, or a custom workflow—can invoke these tools without writing database‑specific code.

The standout advantage is its extensibility: the tool set can be expanded by adding new read‑only endpoints, and the server’s safety guarantees make it suitable for production use in regulated environments. By centralizing database introspection behind a lightweight protocol, developers can focus on building intelligent applications rather than managing credentials and connection logic.