Integrating Claude Code CLI with BigQuery Data via CData CLI

Claude Code is Anthropic's agentic command-line tool that brings AI assistance directly into your development workflow. Running natively in the terminal, it can plan and execute multi-step tasks: reading files, running commands, and making decisions across your project without constant manual input. Its ability to load and follow agent skill files makes it especially well-suited for structured workflows, making it a natural fit for connecting to external data sources through tools like CData CLI. With Claude Code, you can describe your data goals in plain language and let the agent handle driver setup, connection configuration, and query execution automatically.

This article details step-by-step directions for how to connect BigQuery data to Claude Code CLI through CData CLI.

Prerequisites

• Claude Code installed
• CData CLI installed

Getting Started

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Step 1: Download skill (one-time setup)

The CData CLI should always be used with the official Skill.

• The official CData CLI Skill on GitHub can be downloaded using npx skills through the terminal:

  npx skills add CDataSoftware/cli-skills

• Follow prompts in terminal to install skill for Claude Code

Step 2: Set up project directory

A project directory should be created to contain all project files.

Navigate to directory within the terminal and start a session using the claude command

Step 3: Establish driver and connection

Describe what you hope to accomplish in this session with the CLI and BigQuery data. For example, consider the following prompt:

"I would like to build a command line app that connects to BigQuery data and checks for updates from Orders. Make sure to include data from important columns like OrderName and Freight."

This should automatically load the Skill and kick off the following process. You can always manually prompt the agent for each of the following steps.

1. Driver setup: Check for existing CData BigQuery driver, or search and download a new one:

   1. cdatacli drivers list

   2. cdatacli drivers search GoogleBigQuery

   3. cdatacli drivers download --artifact-id "artifact-id"

2. Activation: Activate BigQuery driver with a single command for trial or full license:

   1. cdatacli drivers activate GoogleBigQuery --name "name" --email "email" --trial

   2. cdatacli drivers activate GoogleBigQuery --name "name" --email "email" --key "product-key"

3. Establish BigQuery connection: Check for existing BigQuery connections or create a new one:

   1. cdatacli connection list

   2. cdatacli connection create --driver GoogleBigQuery –name "my_GoogleBigQuery_connection" --connectionstring "Prop1=value1;Prop2=value2;..."

4. Create BigQuery skill (if applicable): CData provides driver instructions for popular sources that can be used to create a source specific skill to guide the agent through best practices for the driver. Run the following command to generate a skill file and save the output to your skills directory. You can choose to save the skill either at the project level or globally. (Note: If "No instructions available for BigQuery" error is returned, no driver instructions exist and you can continue to use main driver skill)

   cdatacli drivers skill GoogleBigQuery > ~/skills/cdata-GoogleBigQuery/SKILL.md

Step 4: Query BigQuery data

With the CData BigQuery Driver fully setup, your agent can now begin executing queries and writing code if desired.

cdatacli query sql --connection "my_BigQuery data_connection" --sql "SELECT * FROM table"

Query BigQuery data directly from your terminal with CData CLI

Claude Code and CData CLI together give your AI coding agent a direct path to live BigQuery data without custom middleware, scheduled syncs, or manual setup at each step. Describe your goal, and the agent handles driver configuration, connection setup, and query execution from start to finish in the terminal.

Download the free CData CLI and start a free, 30-day trial of the CData JDBC Driver for Google BigQuery today.