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Model Context Protocol (MCP) server that supports secure interaction with MySQL databases and has anomaly analysis capabilities.更加牛逼!更加好用!不仅止于mysql的增删改查功能; 还包含了数据库异常分析能力;且便于开发者们进行个性化的工具扩展
Configuration
View docs{
"mcpServers": {
"wenb1n-dev-mysql_mcp_server_pro": {
"url": "http://localhost:3000/mcp/",
"headers": {
"MYSQL_HOST": "YOUR_MYSQL_HOST",
"MYSQL_PORT": "YOUR_MYSQL_PORT",
"MYSQL_ROLE": "readonly",
"MYSQL_USER": "YOUR_USERNAME",
"MYSQL_DATABASE": "YOUR_DATABASE",
"MYSQL_PASSWORD": "YOUR_PASSWORD"
}
}
}
}You can run and use mcp_mysql_server_pro to manage MySQL databases through MCP with multiple transfer modes, perform SQL operations, analyze health and performance, and extend with custom tools. It supports role-based permissions, OAuth2.0, prompt templates, and convenient local development workflows.
You run a local MCP server that connects to your MySQL database and then interact with it through an MCP client. You can choose between a streamable HTTP endpoint, SSE, or a local stdio-based workflow. Practical usage patterns include executing SQL commands, querying table metadata, analyzing health and performance, and applying optimization suggestions. Enable OAuth2.0 for secure access and use role-based permissions to control what each client can do.
Typical end-to-end usage flows you can perform: - Start the server in one of the development modes (streamable HTTP, SSE, or STDIO). - Connect with an MCP client by pointing to the appropriate endpoint or by launching the local stdio service with the provided command. - Use the available tools to run SQL statements, inspect table structures, check health, and optimize queries. - If needed, enable OAuth2.0 authentication to protect access to the MCP service.
Prerequisites: you need Python and/or Node tooling depending on how you want to run the MCP server. You will also need access to a MySQL database you can reach from the server.
pip install mysql_mcp_server_proEnvironment variables you may need to configure for the server to connect to MySQL: - MYSQL_HOST: the host name or IP of your MySQL server - MYSQL_PORT: the port number (default 3306) - MYSQL_USER: your MySQL user name - MYSQL_PASSWORD: the MySQL password - MYSQL_DATABASE: the database you want to access - MYSQL_ROLE: access role to assign (readonly, writer, admin) with corresponding permissions These variables can be placed in a .env file in your working directory or provided directly in your environment.
To run in Streamable Http mode (default): start the service with your environment file, for example:
``
mysql_mcp_server_pro --envfile /path/to/.env
``
To run in SSE mode:
``
mysql_mcp_server_pro --mode sse --envfile /path/to/.env
``
To enable OAuth2.0 authentication, start the service with the oauth flag:
``
uv run -m mysql_mcp_server_pro.server --oauth true
``
Then visit the authentication service at http://localhost:3000/login to obtain a token and add it to your request headers.
HTTP/Streamable Http example (remote client access): you expose an HTTP endpoint for MCP clients to connect. The endpoint is configured with a URL and optional authentication headers as needed.
STDIO example (local development): you can run the server directly and connect via a local driver or MCP client that supports stdio. The following snippet shows a complete stdio configuration that you can adapt to your environment.
Execute SQL statements with permission-based command support across SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP, TRUNCATE as configured.
Convert Chinese field names to pinyin initials for easier indexing and display.
Analyze MySQL health status including connection, transaction, running, and lock status.
Query table structures by name and support multi-table queries.
Query table indexes by table name and support multi-table queries.
Check for row-level or table-level locks on the current MySQL server.
Search for table names based on table comments and descriptions.
Identify index usage patterns, including redundant or poorly performing indexes and top unused indexes with long query times.
Provide expert SQL optimization suggestions based on execution plans and schema information.
Use built-in prompts to construct a chain of tool calls for querying table data in MCP.