MCP Mysql Server
An MCP protocol server that provides MySQL database operations, allowing AI models to interact with MySQL databases through a standardized interface.
rating : 2.5 points
downloads : 83
What is the MCP MySQL Server?
The MCP MySQL Server is a standardized interface that allows AI models to securely interact with MySQL databases through the MCP protocol. It provides functions such as connection management, query execution, and table operations.How to use the MCP MySQL Server?
You can perform database operations such as connection, query, and update by simply setting environment variables and calling the corresponding tools.Applicable Scenarios
Suitable for enterprise applications, data analysis projects, or automated processes that require AI models to access MySQL databases.Main Features
Connection ManagementAutomatically handle database connections to ensure stability and security.
SQL Query ExecutionSupport complex SQL queries, including SELECT, INSERT, UPDATE, and DELETE.
Table Structure ViewingQuickly obtain the structure information of tables in the database.
Error HandlingProvide detailed error logs and solutions.
Advantages and Limitations
Advantages
Support multiple SQL operations to meet diverse needs.
Built - in security mechanisms to prevent SQL injection attacks.
Easy to integrate into existing systems.
Limitations
Optimization may be required for high - concurrency scenarios.
Dependent on the normal operation of the MySQL database service.
How to Use
Install the Server
Install the MCP MySQL Server via Smithery or manually.
Configure Environment Variables
Add necessary database information to the MCP configuration file.
Call Tools
Use the provided tools (such as `query` and `execute`) to perform specific tasks.
Usage Examples
Case Title: Connect to the DatabaseDemonstrate how to use the `connect_db` tool to connect to a MySQL database.
Case Title: Query DataDemonstrate how to use the `query` tool to query data from the user table.
Frequently Asked Questions
How to ensure data security?
Does it support multi - threaded operations?
How to handle query failures?
Related Resources
Official Documentation
Read the complete technical documentation and examples.
GitHub Repository
Contribute or report issues.
Installation Guide Video
Watch the video tutorial on installation and configuration.
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