MySQL MCP Server offers TypeScript tools for SQL queries and database connection management
The MySQL Server MCP (Model Context Protocol) server facilitates a standardized way for AI applications to interact with and query MySQL databases, making it an essential tool for developers building integrated solutions using Model Context Protocol. Inspired by the ubiquity of USB-C in peripheral connections, this server standardizes how various AI applications can access specific data sources through a unified protocol.
The key features embedded within the MySQL Server MCP are centered around delivering robust SQL query execution and seamless integration with the Model Context Protocol. By leveraging TypeScript, the server ensures reliability and maintainability for developers.
Within the architecture, the MySQL Server MCP operates under Model Context Protocol (MCP), ensuring compatibility with various AI clients. The server is structured to handle connections and communications according to MCP standards, providing a clear path for data interaction between AI applications and MySQL databases.
The protocol implementation involves using environment variables (MYSQL_HOST
, MYSQL_USER
, MYSQL_PASSWORD
, MYSQL_DATABASE
) to establish secure and efficient database connections. This setup allows the server to receive queries from any compatible MCP client and return data in a consistent format, enhancing performance and reducing complexity for developers.
Dependencies:
npm
is installed on your system.Installation Steps:
npm install
Build the Server:
npm run build
Development Setup for Realtime Feedback:
npm run watch
Integrating with MCP Clients:
claude_desktop_config.json
in your user directory as follows:
{
"mcpServers": {
"mysql": {
"command": "/path/to/mysql-server/build/index.js",
"env": {
"MYSQL_HOST": "your-mysql-host",
"MYSQL_USER": "your-mysql-user",
"MYSQL_PASSWORD": "your-mysql-password",
"MYSQL_DATABASE": "your-mysql-database"
}
}
}
}
The MySQL Server MCP integrates seamlessly into AI workflows, supporting a variety of use cases. Here are two realistic examples:
A financial application can use the server to perform real-time data analysis on market trends by querying historical data stored in a MySQL database. By leveraging the query
tool, the application can pull relevant information quickly and accurately, enabling more informed decisions.
An e-commerce platform might utilize the MySQL Server MCP to fetch user preferences and past purchase history from a MySQL database for personalized recommendations. The server's robust query capabilities ensure that data is retrieved efficiently, enhancing user experience through tailored suggestions.
The MySQL Server MCP supports integration with major MCP clients including:
This compatibility matrix showcases the versatility of the MySQL Server MCP in facilitating broad AI application integrations, thereby expanding its utility across various domains.
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
This diagram illustrates the flow of communication from AI applications to the MySQL Server MCP and eventually to the underlying data source or tool. Each component is clearly defined, highlighting the protocol's structured interaction.
Environment variables are crucial for establishing secure connections:
MYSQL_HOST
- The host address of your MySQL server.MYSQL_USER
- User credentials for authenticating with the database.MYSQL_PASSWORD
- Securing the connection with a strong password.MYSQL_DATABASE
- The name of the database you wish to query.Since MCP servers communicate over standard input and output (stdio), debugging can be challenging. Utilizing tools such as the MCP Inspector simplifies this process by providing real-time insights into communications between AI applications, clients, and the server.
A: Ensure you have configured the necessary environment variables (MYSQL_HOST
, MYSQL_USER
, MYSQL_PASSWORD
, and MYSQL_DATABASE
) before running your server to establish a secure connection with your MySQL database.
A: The server implements standard security practices such as requiring secure connections, strong user passwords, and configuration management. However, users should also take additional steps based on their environment's requirements.
A: Yes, the server is designed to support a variety of tools that can be queried via SQL commands, allowing for flexibility in data manipulation and analysis.
A: The primary dependency is npm
. Ensure you install all necessary packages by running npm install
before building your application.
A: By providing a standardized protocol, it enables various AI clients and tools to interact seamlessly with MySQL databases. This reduces the complexity of integrating data sources within complex workflows, thereby streamlining development processes for developers working on AI solutions.
Contributors are encouraged to explore the source code available in this repository or contribute directly by adding new features, bug fixes, and improving documentation. Follow these steps to get started:
git clone https://github.com/yourusername/mysql-server.git
cd mysql-server
npm
is installed on your system.npm install
npm run watch
Join the broader MCP community to stay updated on best practices, new developments, and support from the growing ecosystem of developers and innovators.
RuinedFooocus is a local AI image generator and chatbot image server for seamless creative control
Simplify MySQL queries with Java-based MysqlMcpServer for easy standard input-output communication
Learn to set up MCP Airflow Database server for efficient database interactions and querying airflow data
Build stunning one-page websites track engagement create QR codes monetize content easily with Acalytica
Access NASA APIs for space data, images, asteroids, weather, and exoplanets via MCP integration
Explore CoRT MCP server for advanced self-arguing AI with multi-LLM inference and enhanced evaluation methods