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Cursor is an AI-powered code editor that integrates agentic AI into everyday development workflows. With support for MCP, Cursor can connect to local tools and enterprise data sources directly from the editor, enabling natural language interaction with live systems without switching context.
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 Azure DevOps, configuring the connection to Azure DevOps, connecting the Code Assist MCP add-on to Cursor, and querying live Azure DevOps data from within the editor.
When the installation is complete, you are ready to configure your Code Assist MCP add-on by connecting to Azure DevOps.
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Azure DevOps" 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
You can connect to your Azure DevOps account by providing the Organization and PersonalAccessToken.To generate one, log in to your Azure DevOps Organization account and navigate to Profile -> Personal Access Tokens -> New Token. The generated token will be displayed.
If you wish to authenticate to Azure DevOps using OAuth refer to the online Help documentation for an authentication guide.
π Configuring the Code Assist MCP add-on connectionThis process creates a .mcp configuration file that Cursor 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 Cursor.
{
"mcpServers": {
"cdata-local": {
"command": "C:/Program Files/Java/jdk-17/bin/java.exe",
"args": [
"-jar",
"C:/Program Files/CData/CData Code Assist MCP for Azure DevOps/lib/cdata.mcp.azuredevops.jar",
"cdata_azuredevops"
]
}
}
}
π Configuring the CData Code Assist MCP add-on in CursorNOTE: 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_azuredevops").
"List all tables available in my Azure DevOps data connection."
π Querying live data from CursorCursor is now fully integrated with CData Code Assist MCP for Azure DevOps and can use the MCP tools exposed to explore schemas and execute live queries against Azure DevOps.
Download Code Assist MCP for free and give your AI tools schema-aware access to live Azure DevOps data during development. When you're ready to move to production, CData Azure DevOps 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 Azure DevOps Code Assist MCP to get started:
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π Azure DevOps IconThe CData Code Assist MCP for Azure DevOps provides schema-aware context for AI-assisted code generation with live Azure DevOps data.