Build Sugar CRM-Powered Applications in Claude Code with CData Code Assist MCP

Anusha M B
Anusha M B
Technical Marketing Engineer
Use the CData Code Assist MCP for Sugar to explore live Sugar CRM Data in Claude Code to assist with building Sugar CRM-powered applications.

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 Sugar, configuring the connection to Sugar CRM, connecting the Code Assist MCP add-on to Claude Code, and querying live Sugar CRM data from within the terminal.

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

  1. To begin, download the CData Code Assist MCP for Sugar
  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 Sugar CRM.

Step 2: Configure the connection to Sugar CRM

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

    NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Sugar" 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_sugarcrm") and click OK
  4. Enter the appropriate connection properties in the configuration wizard

    The User and Password properties, under the Authentication section, must be set to valid SugarCRM user credentials. This will use the default OAuth token created to allow client logins. OAuthClientId and OAuthClientSecret are required if you do not wish to use the default OAuth token.

    You can generate a new OAuth consumer key and consumer secret in Admin -> OAuth Keys. Set the OAuthClientId to the OAuth consumer key. Set the OAuthClientSecret to the consumer secret.

    Additionally, specify the URL to the SugarCRM account.

    Note that retrieving SugarCRM metadata can be expensive. It is advised that you store the metadata locally as described in the "Caching Metadata" chapter of the help documentation.

  5. Click Connect to authenticate with Sugar CRM
  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
  3. {
    "mcpServers" : {
      "cdata_sugarcrm" : {
        "type" : "stdio",
        "command" : "C:\Program Files\CData\CData Code Assist MCP for Sugar\jre\bin\java.exe",
        "args" : [ "-Dfile.encoding=UTF-8", "-jar", "C:\Program Files\CData\CData Code Assist MCP for Sugar/lib/cdata.mcp.sugarcrm.jar", "cdata_sugarcrm" ],  
        "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_sugarcrm").

Option 2: Copy the MCP configuration from the CData Code Assist MCP for Sugar 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 Sugar CRM data in Claude Code

With the connection verified, you can now use natural language prompts to query and work with live Sugar CRM 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 Accounts is very important. Pull data from the most important columns like Name and AnnualRevenue.

Claude Code will use the MCP add-on to connect to Sugar CRM, 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 Sugar CRM data during development. When you're ready to move to production, CData Sugar CRM 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.

Ready to get started?

Download a free Sugar Code Assist MCP to get started:

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The CData Code Assist MCP for Sugar provides schema-aware context for AI-assisted code generation with live Sugar data.