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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 IBM Cloud Object Storage, configuring the connection to IBM Cloud Object Storage, connecting the Code Assist MCP add-on to GitHub Copilot, and querying live IBM Cloud Object Storage data from within Visual Studio Code.
When the installation is complete, you are ready to configure your Code Assist MCP add-on by connecting to IBM Cloud Object Storage.
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for IBM Cloud Object Storage" in the Windows search bar and open the application.
π Opening the CData Code Assist MCP add-on configuration wizard (Google Sheets is shown).Enter the appropriate connection properties in the configuration wizard
If you do not already have Cloud Object Storage in your IBM Cloud account, follow the procedure below to install an instance of SQL Query in your account:
There are certain connection properties you need to set before you can connect. You can obtain these as follows:
To connect with IBM Cloud Object Storage, you need an API Key. You can obtain this as follows:
If you have multiple accounts, specify the CloudObjectStorageCRN explicitly. To find the appropriate value, you can:
You can now set the following to connect to data:
When you connect, the connector completes the OAuth process.
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.
{
"servers": {
"cdata_ibmcloudobjectstorage": {
"command": "C:\Program Files\CData\CData Code Assist MCP for IBM Cloud Object Storage\jre\bin\java.exe",
"args": [
"-Dfile.encoding=UTF-8",
"-jar",
"C:\Program Files\CData\CData Code Assist MCP for IBM Cloud Object Storage\lib\cdata.mcp.ibmcloudobjectstorage.jar",
"cdata_ibmcloudobjectstorage"
]
}
}
}
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_ibmcloudobjectstorage").
"List all tables available in my IBM Cloud Object Storage data data connection."
π Querying live data from GitHub CopilotFor my project, data from the Objects is very important. Pull data from the most important columns like Key and Etag.
GitHub Copilot is now fully integrated with CData Code Assist MCP for IBM Cloud Object Storage and can use the MCP tools to explore schemas and execute live queries against IBM Cloud Object Storage.
Download Code Assist MCP for free and give your AI tools schema-aware access to live IBM Cloud Object Storage data during development. When you're ready to move to production, CData IBM Cloud Object Storage 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.
Download a free IBM Cloud Object Storage Code Assist MCP to get started:
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π IBM Cloud Object Storage IconThe CData Code Assist MCP for IBM Cloud Object Storage provides schema-aware context for AI-assisted code generation with live IBM Cloud Object Storage data.