![]() |
VOOZH | about |
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 REST, configuring the connection to REST, connecting the Code Assist MCP add-on to GitHub Copilot, and querying live REST 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 REST.
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for REST" 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
See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models REST APIs as bidirectional database tables and XML/JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.
After setting the and providing any authentication values, set to "XML" or "JSON" and set to more closely match the data representation to the structure of your data.
The property is the controlling property over how your data is represented into tables and toggles the following basic configurations.
See the Modeling REST Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.
π Configuring the Code Assist MCP add-on connectionThis 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_rest": {
"command": "C:\Program Files\CData\CData Code Assist MCP for REST\jre\bin\java.exe",
"args": [
"-Dfile.encoding=UTF-8",
"-jar",
"C:\Program Files\CData\CData Code Assist MCP for REST\lib\cdata.mcp.rest.jar",
"cdata_rest"
]
}
}
}
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_rest").
"List all tables available in my REST data data connection."
π Querying live data from GitHub CopilotFor my project, data from the people is very important. Pull data from the most important columns like [ personal.name.first ] and [ personal.name.last ].
GitHub Copilot is now fully integrated with CData Code Assist MCP for REST and can use the MCP tools to explore schemas and execute live queries against REST.
Download Code Assist MCP for free and give your AI tools schema-aware access to live REST data during development. When you're ready to move to production, CData REST 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 REST Code Assist MCP to get started:
Download NowLearn more:
π REST IconThe CData Code Assist MCP for REST provides schema-aware context for AI-assisted code generation with live REST data.