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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 Presto, configuring the connection to Presto, connecting the Code Assist MCP add-on to GitHub Copilot, and querying live Presto data from within Visual Studio Code.
Accessing and integrating live data from Trino and Presto SQL engines has never been easier with CData. Customers rely on CData connectivity to:
Presto and Trino allow users to access a variety of underlying data sources through a single endpoint. When paired with CData connectivity, users get pure, SQL-92 access to their instances, allowing them to integrate business data with a data warehouse or easily access live data directly from their preferred tools, like Power BI and Tableau.
In many cases, CData's live connectivity surpasses the native import functionality available in tools. One customer was unable to effectively use Power BI due to the size of the datasets needed for reporting. When the company implemented the CData Power BI Connector for Presto they were able to generate reports in real-time using the DirectQuery connection mode.
When the installation is complete, you are ready to configure your Code Assist MCP add-on by connecting to Presto.
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Presto" 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
Set the Server and Port connection properties to connect, in addition to any authentication properties that may be required.
To enable TLS/SSL, set UseSSL to true.
In order to authenticate with LDAP, set the following connection properties:
In order to authenticate with KERBEROS, set the following connection properties:
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_presto": {
"command": "C:\Program Files\CData\CData Code Assist MCP for Presto\jre\bin\java.exe",
"args": [
"-Dfile.encoding=UTF-8",
"-jar",
"C:\Program Files\CData\CData Code Assist MCP for Presto\lib\cdata.mcp.presto.jar",
"cdata_presto"
]
}
}
}
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_presto").
"List all tables available in my Presto data data connection."
π Querying live data from GitHub CopilotFor my project, data from the Customer is very important. Pull data from the most important columns like FirstName and LastName.
GitHub Copilot is now fully integrated with CData Code Assist MCP for Presto and can use the MCP tools to explore schemas and execute live queries against Presto.
Download Code Assist MCP for free and give your AI tools schema-aware access to live Presto data during development. When you're ready to move to production, CData Presto 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 Presto Code Assist MCP to get started:
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π Presto IconThe CData Code Assist MCP for Presto provides schema-aware context for AI-assisted code generation with live Presto data.