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MySQL DB MCP Server

MCP Server

Connect and query MySQL databases via MCP

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Updated May 7, 2025

About

A Model Context Protocol server that allows clients to connect to a MySQL database and execute SQL queries, returning results in JSON format.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

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The mysqldb‑mcp‑server is a dedicated Model Context Protocol (MCP) service that bridges AI assistants with MySQL databases. By exposing a lightweight, stateless interface over standard I/O, it lets Claude and other MCP‑compatible clients query relational data without embedding database logic into the assistant itself. This separation of concerns simplifies maintenance, enhances security, and allows developers to manage database credentials independently from the AI workflow.

At its core, the server offers two straightforward tools: and . The first establishes a connection to a specified MySQL database using environment‑configured credentials, returning a confirmation message that the assistant can use to verify connectivity. The second accepts raw SQL statements—single or batched—and returns the results as JSON, making it trivial for downstream processing or presentation layers to consume. The ability to pass multiple queries separated by semicolons gives developers flexibility for transactional or multi‑step operations while keeping the interface minimal.

Key capabilities include configurable connection parameters (, , , etc.) and an optional read‑only mode that protects data integrity in shared environments. Because the server runs as a separate process, it can be launched locally for development or deployed in cloud environments via Smithery’s one‑click installation, ensuring consistent behavior across platforms. The MCP Inspector integration further aids debugging by providing a visual console for monitoring requests and responses, which is invaluable when troubleshooting complex queries or latency issues.

Real‑world use cases abound: a data analyst can ask Claude to generate a sales summary, which the assistant forwards as a SQL query through , then formats the JSON result into a report. A web developer can embed the server in a backend service, allowing front‑end chat widgets to retrieve user data securely. In educational settings, students can experiment with SQL through conversational prompts without needing direct database access.

Overall, the mysqldb‑mcp‑server delivers a clean, secure, and extensible pathway for AI assistants to interact with MySQL databases. Its minimal API, environment‑driven configuration, and robust tooling make it a practical choice for developers seeking to augment conversational agents with reliable data access while keeping operational concerns neatly encapsulated.