Build Hugging Face-Powered Applications in Claude Code with CData MCP Server

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 API Driver for MCP Server, configuring the connection to Hugging Face, connecting the MCP Server add-on to Claude Code, and querying live Hugging Face data from within the terminal.

Step 1: Download and install the CData API Driver for MCP Server

1. To begin, download the CData API Driver for MCP Server 👁 Downloading the CData MCP Server add-on installer
   
2. Find and double-click the installer to begin the installation
3. Run the installer and follow the prompts to complete the installation 👁 Completing the CData MCP Server add-on installation
   

When the installation is complete, you are ready to configure your MCP Server add-on by connecting to Hugging Face.

Step 2: Configure the connection to Hugging Face

1. After installation, open the CData API Driver for MCP Server configuration wizard 👁 The CData MCP Server add-on configuration wizard
   

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

   👁 Opening the CData MCP Server add-on configuration wizard (Google Sheets is shown).
   
2. In MCP Configuration > Configuration Name, either select an existing configuration or choose to create a new one 👁 Creating a new configuration
   
3. Name the configuration (e.g. "cdata_api") and click OK 👁 Naming the configuration
   

4. Enter the appropriate connection properties in the configuration wizard

   HuggingFace Hub uses token-based authentication to enable access to its API. The API provides access to machine learning models, datasets, spaces, papers, and other resources on the HuggingFace Hub platform.

   Using API Key Authentication

   To authenticate to HuggingFace Hub, you will need to provide an API Key (Access Token). To obtain your access token:

   1. Log in to your HuggingFace account at https://huggingface.co
   2. Navigate to Settings > Access Tokens
   3. Click "New token" to create a new access token
   4. Select the appropriate permissions (read or write)
   5. Copy the token value

   After obtaining your access token, set the following connection properties:

   • AuthScheme: Set this to APIKey.
   • APIKey: Set this to your HuggingFace access token.

   Example connection string

   Profile=C:\profiles\HuggingFace.apip;ProfileSettings='APIKey=hf_xxxxxxxxxxxxxxxxxxxx';
   

   👁 Configuring the MCP Server add-on connection
   
5. Click Connect to authenticate with Hugging Face
6. Then, click Save Configuration to save the MCP Server add-on 👁 Saving the MCP Server add-on configuration
   

This process creates a .mcp configuration file that Claude Code will reference when launching the MCP Server add-on. Now with your MCP Server add-on configured, you are ready to connect it to Claude Code.

Step 3: Connect the MCP Server 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_api" : {
 "type" : "stdio",
 "command" : "C:\Program Files\CData\CData API Driver for MCP Server\jre\bin\java.exe",
 "args" : [ "-Dfile.encoding=UTF-8", "-jar", "C:\Program Files\CData\CData API Driver for MCP Server/lib/cdata.mcp.api.jar", "cdata_api" ], 
 "env" : {}
 }
}
}

NOTE: The command value should point to your Java 17+ java.exe executable, and the JAR path should point to the installed CData MCP Server add-on .jar file. The final argument must match the MCP configuration name you saved in the CData configuration wizard (e.g. "cdata_api").

Option 2: Copy the MCP configuration from the CData API Driver for MCP Server UI

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

2. Select Claude Code from the AI MCP Tool dropdown
👁 Choosing the required AI MCP tool

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

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
👁 Checking the connection status

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

Step 5: Query live Hugging Face data in Claude Code

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

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

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

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

Build with MCP Server. Deploy with CData Drivers.

Download CData API Driver for MCP Server for free and give your AI tools schema-aware access to live Hugging Face data during development. When you're ready to move to production, CData API 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.