MySQL MCP Server is an MCP server implementation that integrates with MySQL databases, providing secure database access capabilities for LLMs (Large Language Models). It supports both read and write operations while ensuring security through features like transaction handling, query limits, and performance monitoring.
MySQL MCP Server allows secure and efficient integration of MySQL databases with LLM services. Its features like parameterized queries, automatic transaction handling, and query restrictions make it a reliable choice for developers who want to enable controlled database access in AI-driven environments.
MySQL MCP Server was developed by Dewei Yen and is available under the MIT license. The repository is maintained by the user 'kevinwatt' on GitHub.
MySQL MCP Server can be installed globally using npm with the command `npm install -g @kevinwatt/mysql-mcp`. It requires Node.js 18+, a MySQL server, and an MCP-compatible LLM service to function properly.
You should use MySQL MCP Server when you need to provide secure and controlled database access for LLM applications. It’s ideal for scenarios where AI models need to interact with MySQL databases for executing queries or managing data.
To configure MySQL MCP Server with Dive Desktop, click '+ Add MCP Server,' then copy and paste the provided configuration into the settings. Ensure you specify the correct MySQL connection details such as host, port, user, password, and database name.
Key security features include read-only transaction mode for SELECT queries, query length and result size limits, performance monitoring, logging, and automatic transaction handling to prevent unauthorized or harmful operations.
Yes, MySQL MCP Server supports write operations such as INSERT, UPDATE, and DELETE with transaction support. It also provides parameterized queries to ensure data safety during these operations.
MySQL MCP Server includes tools like `mysql_query` for executing SELECT queries, `mysql_execute` for data modification operations, `list_tables` to view all tables in the database, and `describe_table` to show table structures.
Yes, MySQL MCP Server imposes a maximum query length of 4096 characters, a maximum result row limit of 1000, and a query timeout of 30 seconds to ensure optimal performance and prevent abuse.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.