Build Sybase-Powered Applications in GitHub Copilot with CData Code Assist MCP

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 Code Assist MCP for Sybase, configuring the connection to Sybase, connecting the Code Assist MCP add-on to GitHub Copilot, and querying live Sybase data from within Visual Studio Code.

Prerequisites

• Visual Studio Code is installed on your machine
• GitHub Copilot Chat extension is enabled in Visual Studio Code
• CData Code Assist MCP for Sybase has been installed

Step 1: Download and install the CData Code Assist MCP for Sybase

1. To begin, download the CData Code Assist MCP for Sybase
2. Find and double-click the installer to begin the installation
3. Run the installer and follow the prompts to complete the installation

When the installation is complete, you are ready to configure your Code Assist MCP add-on by connecting to Sybase.

Step 2: Configure the connection to Sybase

1. After installation, open the CData Code Assist MCP for Sybase configuration wizard

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

   
2. In MCP Configuration > Configuration Name, either select an existing configuration or choose to create a new one
3. Name the configuration (e.g. "cdata_sybase") and click OK

4. Enter the appropriate connection properties in the configuration wizard

   To connect to Sybase, specify the following connection properties:

   • Server: Set this to the name or network address of the Sybase database instance.
   • Database: Set this to the name of the Sybase database running on the specified Server.

   Optionally, you can also secure your connections with TLS/SSL by setting UseSSL to true.

   Sybase supports several methods for authentication including Password and Kerberos.

   Connect Using Password Authentication

   Set the AuthScheme to Password and set the following connection properties to use Sybase authentication.

   • User: Set this to the username of the authenticating Sybase user.
   • Password: Set this to the username of the authenticating Sybase user.

   Connect using LDAP Authentication

   To connect with LDAP authentication, configure Sybase server-side to use the LDAP authentication mechanism.

   After configuring Sybase for LDAP, you can connect using the same credentials as Password authentication.

   Connect Using Kerberos Authentication

   To leverage Kerberos authentication, begin by enabling it setting AuthScheme to Kerberos. See the Using Kerberos section in the Help documentation for more information on using Kerberos authentication.

   You can find an example connection string below:

   Server=MyServer;Port=MyPort;User=SampleUser;Password=SamplePassword;Database=MyDB;Kerberos=true;KerberosKDC=MyKDC;KerberosRealm=MYREALM.COM;KerberosSPN=server-name

   

5. Click Connect to authenticate with Sybase
6. Click Save & Test to finalize the connection

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

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

1. Download and install Visual Studio Code and enable the GitHub Copilot Chat extension

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

{
  "servers": {
    "cdata_sybase": {
      "command": "C:\Program Files\CData\CData Code Assist MCP for Sybase\jre\bin\java.exe",
      "args": [
        "-Dfile.encoding=UTF-8",
        "-jar",
        "C:\Program Files\CData\CData Code Assist MCP for Sybase\lib\cdata.mcp.sybase.jar",
        "cdata_sybase"
      ]
    }
  }
}

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

Option 2: Copy the MCP configuration from the CData Code Assist MCP for Sybase UI

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

Step 4: Query live Sybase data in GitHub Copilot

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

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

   
3. Start building with natural language prompts:

   For my project, data from the Products is very important. Pull data from the most important columns like Id and ProductName.
   

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

Build with Code Assist MCP. Deploy with CData Drivers.

Download Code Assist MCP for free and give your AI tools schema-aware access to live Sybase data during development. When you're ready to move to production, CData Sybase 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.