Build EnterpriseDB-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 EnterpriseDB, configuring the connection to EnterpriseDB, connecting the Code Assist MCP add-on to GitHub Copilot, and querying live EnterpriseDB 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 EnterpriseDB has been installed
Step 1: Download and install the CData Code Assist MCP for EnterpriseDB
- To begin, download the CData Code Assist MCP for EnterpriseDB
- Find and double-click the installer to begin the installation
- 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 EnterpriseDB.
Step 2: Configure the connection to EnterpriseDB
- After installation, open the CData Code Assist MCP for EnterpriseDB configuration wizard
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for EnterpriseDB" in the Windows search bar and open the application.
- In MCP Configuration > Configuration Name, either select an existing configuration or choose
to create a new one
- Name the configuration (e.g. "cdata_enterprisedb") and click OK
-
Enter the appropriate connection properties in the configuration wizard
The following connection properties are required in order to connect to data.
- Server: The host name or IP of the server hosting the EnterpriseDB database.
- Port: The port of the server hosting the EnterpriseDB database.
You can also optionally set the following:
- Database: The default database to connect to when connecting to the EnterpriseDB Server. If this is not set, the user's default database will be used.
Connect Using Standard Authentication
To authenticate using standard authentication, set the following:
- User: The user which will be used to authenticate with the EnterpriseDB server.
- Password: The password which will be used to authenticate with the EnterpriseDB server.
Connect Using SSL Authentication
You can leverage SSL authentication to connect to EnterpriseDB data via a secure session. Configure the following connection properties to connect to data:
- SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
- SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
- SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
- SSLClientCertType: The certificate type of the client store.
- SSLServerCert: The certificate to be accepted from the server.
- Click Connect to authenticate with EnterpriseDB
- 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
- Download and install Visual Studio Code and enable the GitHub Copilot Chat extension
- Open or create the mcp.json file:
- For global configuration: %%APPDATA%%/Roaming/Code/User/mcp.json
- For project-specific configuration:
/.vscode/mcp.json
- Add the JSON code shown below and save the file
- After saving and testing your connection in the configuration wizard, click Next
- Select Github Copilot from the AI MCP Tool dropdown
- Follow the MCP Client Instructions to create the required configuration file
- Copy the displayed JSON code and paste it into your configuration file
Option 1: Manually add the MCP configuration
{
"servers": {
"cdata_enterprisedb": {
"command": "C:\Program Files\CData\CData Code Assist MCP for EnterpriseDB\jre\bin\java.exe",
"args": [
"-Dfile.encoding=UTF-8",
"-jar",
"C:\Program Files\CData\CData Code Assist MCP for EnterpriseDB\lib\cdata.mcp.enterprisedb.jar",
"cdata_enterprisedb"
]
}
}
}
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_enterprisedb").
Option 2: Copy the MCP configuration from the CData Code Assist MCP for EnterpriseDB UI
Step 4: Query live EnterpriseDB data in GitHub Copilot
- Launch Visual Studio Code and open the GitHub Copilot Chat interface. Select the tool icon to enable the configured Code Assist MCP add-on
- Ask questions about your EnterpriseDB data using natural language. For example:
"List all tables available in my EnterpriseDB data data connection."
- 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 ShipCity.
GitHub Copilot is now fully integrated with CData Code Assist MCP for EnterpriseDB and can use the MCP tools to explore schemas and execute live queries against EnterpriseDB.
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 EnterpriseDB data during development. When you're ready to move to production, CData EnterpriseDB Drivers deliver the same SQL-based access with enterprise-grade performance, security, and reliability.
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