mysql-mcp-server
by Mineru98
MCP MySQL Server is a server application for MySQL database operations based on MCP (Model Context Protocol). This server provides tools that allow AI models to interact with the MySQL database.
Last updated: N/A
What is mysql-mcp-server?
The MCP MySQL Server is a server application built to facilitate interaction between AI models and MySQL databases using the Model Context Protocol (MCP). It provides a set of tools that allow AI models to perform various database operations.
How to use mysql-mcp-server?
The server can be run using Docker, Docker Compose, or directly with Python. Configuration is primarily done through environment variables. AI models can then interact with the server to execute database operations using the provided tools.
Key features of mysql-mcp-server
Provides tools for AI models to interact with MySQL databases.
Supports creating, describing, and explaining tables.
Enables executing INSERT and SELECT queries.
Offers schema verification tools and visualization chart recommendations.
Supports containerized deployment via Docker and Docker Compose.
Use cases of mysql-mcp-server
Allowing AI models to generate and execute SQL queries.
Enabling AI models to analyze data stored in MySQL databases.
Automating database administration tasks using AI.
Integrating AI-powered data analysis into existing applications.
Building AI-driven reporting and visualization tools.
FAQ from mysql-mcp-server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a protocol for communication between AI models and external systems.
What databases are supported?
What databases are supported?
Currently, only MySQL 8.0 is supported.
How do I add a new tool?
How do I add a new tool?
Implement the tool in the executors directory and register it in __init__.py.
How do I configure the database connection?
How do I configure the database connection?
Set the appropriate environment variables (MYSQL_HOST, MYSQL_PORT, MYSQL_USER, MYSQL_PASSWORD, MYSQL_DATABASE).
What are the deployment options?
What are the deployment options?
You can deploy the server using Docker, Docker Compose, or directly with Python.