Build Certinia-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 Certinia, configuring the connection to Certinia, connecting the Code Assist MCP add-on to GitHub Copilot, and querying live Certinia 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 Certinia has been installed

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

1. To begin, download the CData Code Assist MCP for Certinia
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 Certinia.

Step 2: Configure the connection to Certinia

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

   NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Certinia" 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_certinia") and click OK

4. Enter the appropriate connection properties in the configuration wizard

   There are several authentication methods available for connecting to Certinia: login credentials, SSO, and OAuth.

   Authenticating with a Login and Token

   Set the User and Password to your login credentials. Additionally, set the SecurityToken. By default, the SecurityToken is required, but you can make it optional by allowing a range of trusted IP addresses.

   To disable the security token:

   1. Log in to Certinia and enter "Network Access" in the Quick Find box in the setup section.
   2. Add your IP address to the list of trusted IP addresses.

   To obtain the security token:

   1. Open the personal information page on certinia.com.
   2. Click the link to reset your security token. The token will be emailed to you.
   3. Specify the security token in the SecurityToken connection property or append it to the Password.

   Authenticating with OAuth

   If you do not have access to the user name and password or do not want to require them, use the OAuth user consent flow. See the OAuth section in the Help for an authentication guide.

   Connecting to Certinia Sandbox Accounts

   Set UseSandbox to true (false by default) to use a Certinia sandbox account. Ensure that you specify a sandbox user name in User.

   
5. Click Connect to authenticate with Certinia through OAuth
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_certinia": {
      "command": "C:\Program Files\CData\CData Code Assist MCP for Certinia\jre\bin\java.exe",
      "args": [
        "-Dfile.encoding=UTF-8",
        "-jar",
        "C:\Program Files\CData\CData Code Assist MCP for Certinia\lib\cdata.mcp.certinia.jar",
        "cdata_certinia"
      ]
    }
  }
}

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_certinia").

Option 2: Copy the MCP configuration from the CData Code Assist MCP for Certinia 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 Certinia 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 Certinia data using natural language. For example:

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

   
3. Start building with natural language prompts:

   For my project, data from the Account is very important. Pull data from the most important columns like BillingState and Name.
   

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

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 Certinia data during development. When you're ready to move to production, CData Certinia 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.