Build MySQL-Powered Applications in GitHub Copilot with CData MCP Server

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use the CData MCP Server for MySQL to explore live MySQL Data in GitHub Copilot to assist with building MySQL-powered applications.

GitHub Copilot is an AI-powered coding assistant that integrates directly into Visual Studio Code and other IDEs. With support for MCP, GitHub Copilot can connect to local tools and enterprise data sources, enabling natural language interaction with live systems during development.

Model Context Protocol (MCP) is an open standard for connecting LLM clients to external services through structured tool interfaces. MCP servers expose capabilities such as schema discovery and live querying, allowing AI agents to retrieve and reason over real-time data safely and consistently.

In this article, we guide you through installing the CData MCP Server for MySQL, configuring the connection to MySQL, connecting the MCP Server add-on to GitHub Copilot, and querying live MySQL data from within Visual Studio Code.

Prerequisites

Step 1: Download and install the CData MCP Server for MySQL


  1. To begin, download the CData MCP Server for MySQL Downloading the CData MCP Server add-on installer
  2. Find and double-click the installer to begin the installation
  3. Run the installer and follow the prompts to complete the installation Completing the CData MCP Server add-on installation

When the installation is complete, you are ready to configure your MCP Server add-on by connecting to MySQL.

Step 2: Configure the connection to MySQL


  1. After installation, open the CData MCP Server for MySQL configuration wizard The CData MCP Server add-on configuration wizard

    NOTE: If the wizard does not open automatically, search for "CData MCP Server for MySQL" in the Windows search bar and open the application.

    Opening the CData MCP Server add-on configuration wizard (Google Sheets is shown).
  2. In MCP Configuration > Configuration Name, either select an existing configuration or choose to create a new one Creating a new configuration
  3. Name the configuration (e.g. "cdata_mysql") and click OK Naming the configuration
  4. Enter the appropriate connection properties in the configuration wizard

    The CData Provider supports connecting to on-premises and cloud-hosted versions of MySQL such as Amazon RDS for MySQL, Google Cloud SQL for MySQL, Azure Database for MySQL, or Oracle MySQL HeatWave. The Server and Port properties must be set to a MySQL server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, tables from all databases will be returned.

    SSH Connectivity for MySQL

    You can use SSH (Secure Shell) to authenticate with MySQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

    SSH Connections to MySQL in Password Auth Mode

    To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

    • User: MySQL User name
    • Password: MySQL Password
    • Database: MySQL database name
    • Server: MySQL Server name
    • Port: MySQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Password"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHPassword: SSH Password

    SSH Connections to MySQL in Public Key Auth Mode

    To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

    • User: MySQL User name
    • Password: MySQL Password
    • Database: MySQL database name
    • Server: MySQL Server name
    • Port: MySQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Public_Key"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHClientCret: the path for the public key certificate file
    Configuring the MCP Server add-on connection
  5. Click Connect to authenticate with MySQL
  6. Click Save & Test to finalize the connection Saving and testing the MCP Server add-on configuration

This process creates a .mcp configuration file that GitHub Copilot will reference when launching the MCP Server add-on. Now with your MCP Server add-on configured, you are ready to connect it to GitHub Copilot.

Step 3: Connect the MCP Server add-on to GitHub Copilot


  1. Download and install Visual Studio Code and enable the GitHub Copilot Chat extension
  2. Option 1: Manually add the MCP configuration

    1. Open or create the mcp.json file:
      • For global configuration: %%APPDATA%%/Roaming/Code/User/mcp.json
      • For project-specific configuration: /.vscode/mcp.json
    2. Add the JSON code shown below and save the file
    3. {
        "servers": {
          "cdata_mysql": {
            "command": "C:\Program Files\CData\CData MCP Server for MySQL\jre\bin\java.exe",
            "args": [
              "-Dfile.encoding=UTF-8",
              "-jar",
              "C:\Program Files\CData\CData MCP Server for MySQL\lib\cdata.mcp.mysql.jar",
              "cdata_mysql"
            ]
          }
        }
      }
      

      NOTE: The command value should point to your Java 17+ java.exe executable, and the JAR path should point to the installed CData MCP Server add-on .jar file. The final argument must match the MCP configuration name you saved in the CData configuration wizard (e.g. "cdata_mysql").

    Option 2: Copy the MCP configuration from the CData MCP Server for MySQL UI

    1. After saving and testing your connection in the configuration wizard, click Next Selecting
    2. Select Github Copilot from the AI MCP Tool dropdown Choosing GitHub Copilot as the AI MCP tool
    3. Follow the MCP Client Instructions to create the required configuration file MCP configuration instructions for GitHub Copilot
    4. Copy the displayed JSON code and paste it into your configuration file

Step 4: Query live MySQL data in GitHub Copilot


  1. Launch Visual Studio Code and open the GitHub Copilot Chat interface. Select the tool icon to enable the configured MCP Server add-on Enabling the CData MCP Server add-on in GitHub Copilot
  2. Ask questions about your MySQL data using natural language. For example:

    "List all tables available in my MySQL data data connection."

    Querying live data from GitHub Copilot
  3. Start building with natural language prompts:
    For my project, data from the Orders is very important. Pull data from the most important columns like ShipName and Freight.
    

GitHub Copilot is now fully integrated with CData MCP Server for MySQL and can use the MCP tools to explore schemas and execute live queries against MySQL.


Build with MCP Server. Deploy with CData Drivers.

Download CData MCP Server for MySQL for free and give your AI tools schema-aware access to live MySQL data during development. When you're ready to move to production, CData MySQL Drivers deliver the same SQL-based access with enterprise-grade performance, security, and reliability.

Visit the CData Community to share insights, ask questions, and explore what's possible with MCP-powered AI workflows.

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The CData MCP Server for MySQL provides schema-aware context for AI-assisted code generation with live MySQL data.