Build SQL Server-Powered Applications in Claude Code with CData Code Assist MCP

Claude Code is an AI-powered command line tool that enables agentic coding workflows. With support for MCP, Claude Code can connect to local tools and enterprise data sources directly from your terminal, 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.

The following steps cover installing the CData Code Assist MCP for SQL Server, configuring the connection to SQL Server, connecting the Code Assist MCP add-on to Claude Code, and querying live SQL Server data from within the terminal.

Step 1: Download and install the CData Code Assist MCP for SQL Server

1. To begin, download the CData Code Assist MCP for SQL Server
2. Find and double-click the installer to begin the installation
3. 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 SQL Server.

Step 2: Configure the connection to SQL Server

1. After installation, open the CData Code Assist MCP for SQL Server configuration wizard

   NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for SQL Server" in the Windows search bar and open the application.

   
2. In MCP Configuration > Configuration Name, either select an existing configuration or choose to create a new one
3. Name the configuration (e.g. "cdata_sql") and click OK

4. Enter the appropriate connection properties in the configuration wizard

   Connecting to Microsoft SQL Server

   Connect to Microsoft SQL Server using the following properties:

   • Server: The name of the server running SQL Server.
   • User: The username provided for authentication with SQL Server.
   • Password: The password associated with the authenticating user.
   • Database: The name of the SQL Server database.

   Connecting to Azure SQL Server and Azure Data Warehouse

   You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

   • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
   • User: The name of the user authenticating to Azure.
   • Password: The password associated with the authenticating user.
   • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.

   SSH Connectivity for SQL Server

   You can use SSH (Secure Shell) to authenticate with SQL Server, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

   SSH Connections to SQL Server in Password Auth Mode

   To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

   • User: SQL Server User name
   • Password: SQL Server Password
   • Database: SQL Server database name
   • Server: SQL Server Server name
   • Port: SQL Server port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Password"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHPassword: SSH Password

   SSH Connections to SQL Server in Public Key Auth Mode

   To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

   • User: SQL Server User name
   • Password: SQL Server Password
   • Database: SQL Server database name
   • Server: SQL Server Server name
   • Port: SQL Server port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Public_Key"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHClientCret: the path for the public key certificate file
   
5. Click Connect to authenticate with SQL Server
6. Then, click Save Configuration to save the Code Assist MCP add-on

This process creates a .mcp configuration file that Claude Code 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 Claude Code.

Step 3: Connect the Code Assist MCP add-on to Claude Code

1. Install the Claude Code CLI using the terminal
2. Open the Claude Code configuration file at ~/.config/claude-code/config.json (or the location shown after initialization)

Option 1: Manually add the MCP configuration

1. Open the mcp.json file in your preferred editor
2. Add the code shown below

{
"mcpServers" : {
  "cdata_sql" : {
    "type" : "stdio",
    "command" : "C:\Program Files\CData\CData Code Assist MCP for SQL Server\jre\bin\java.exe",
    "args" : [ "-Dfile.encoding=UTF-8", "-jar", "C:\Program Files\CData\CData Code Assist MCP for SQL Server/lib/cdata.mcp.sql.jar", "cdata_sql" ],  
    "env" : {}
  }
}
}

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_sql").

Option 2: Copy the MCP configuration from the CData Code Assist MCP for SQL Server UI

1. After saving and testing your connection in the configuration wizard, click Next

2. Select Claude Code from the AI MCP Tool dropdown

3. Click Copy JSON to copy the generated MCP configuration to your clipboard

4. Paste the copied JSON into the mcp.json file

Step 4: Verify connection in Claude Code

Claude Code provides tools to verify the connection is active before building.

1. Open a terminal and navigate to your project directory. Run the command claude mcp list
2. Check that your configuration name appears with a Connected status

3. Start Claude Code by running claude
4. Inside the Claude Code session, type /mcp to view active servers

Step 5: Query live SQL Server data in Claude Code

With the connection verified, you can now use natural language prompts to query and work with live SQL Server data.

1. Prompt Claude Code to review the instructions for your MCP connection to ensure it has all the appropriate context when writing code
2. Start building with natural language prompts! For example:

   For my project, data from the Orders is very important. Pull data from the most important columns like ShipName and Freight.

Claude Code will use the MCP add-on to connect to SQL Server, retrieve the requested data, and provide results directly in your terminal

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 SQL Server data during development. When you're ready to move to production, CData SQL Server 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.