mcp-mysql-server
by f4ww4z
The mcp-mysql-server enables AI models to interact with MySQL databases through a standardized Model Context Protocol interface. It provides tools for connecting to a database, executing queries, and managing tables.
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What is mcp-mysql-server?
The mcp-mysql-server is a Model Context Protocol (MCP) server that allows AI models to interact with MySQL databases. It provides a set of tools to perform common database operations such as connecting, querying, and managing tables.
How to use mcp-mysql-server?
The server can be installed via Smithery or manually using npm. Configuration requires setting environment variables for database credentials (host, user, password, database) in your MCP settings. Once configured, AI models can use the provided tools (connect_db, query, execute, list_tables, describe_table) via the MCP interface by specifying the server name ('mysql') and the desired tool with its arguments.
Key features of mcp-mysql-server
Secure connection handling with automatic cleanup
Prepared statement support for query parameters
Comprehensive error handling and validation
TypeScript support
Use cases of mcp-mysql-server
Data retrieval for AI models
Data manipulation based on AI model decisions
Database schema exploration
Automated database management tasks
FAQ from mcp-mysql-server
How do I install the server?
How do I install the server?
You can install it via Smithery using the provided command or manually using npm.
What environment variables are required?
What environment variables are required?
You need to set MYSQL_HOST, MYSQL_USER, MYSQL_PASSWORD, and MYSQL_DATABASE in your MCP settings.
How do I prevent SQL injection?
How do I prevent SQL injection?
The server uses prepared statements to prevent SQL injection vulnerabilities.
What kind of queries can I execute?
What kind of queries can I execute?
You can execute SELECT, INSERT, UPDATE, and DELETE queries.
How does the server handle errors?
How does the server handle errors?
The server provides detailed error messages for connection failures, invalid queries, missing parameters, and database errors.