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URL: https://www.cdata.com/kb/tech/hubspot-jdbc-cli-github-copilot.rst

⇱ Integrating GitHub Copilot CLI with HubSpot data via CData CLI

Integrating GitHub Copilot CLI with HubSpot data via CData CLI

👁 Justin Floyd
Justin Floyd
Product Business Analyst
CData CLI gives AI coding agents direct, command-line-native access to CData Drivers across hundreds of data sources, allowing agents to manage licenses, configure connections, run SQL queries, and explore schema metadata, all without leaving the terminal.

GitHub Copilot CLI is the terminal interface for GitHub Copilot, giving developers direct access to an AI agent without leaving the command line. It can autonomously complete multi-step tasks driven by natural language instructions, including reading and modifying files, running shell commands, managing pull requests on GitHub, and delegating work to specialized custom agents. Its support for agent skills and custom instructions makes it well-suited for structured, tool-driven workflows, making it a natural fit for connecting to external data sources through CData CLI.

By describing your data goals in plain language, GitHub Copilot CLI can handle the full setup process, from driver configuration and license activation to connection creation and query execution, without manual intervention at each step.

This article details step-by-step directions for how to connect HubSpot data to GitHub Copilot CLI through CData CLI.

Prerequisites

  1. GitHub Copilot CLI installed
  2. CData CLI installed
  3. Access to HubSpot

About HubSpot Data Integration

CData provides the easiest way to access and integrate live data from HubSpot. Customers use CData connectivity to:

  • Access HubSpot without worrying about API updates or changes.
  • Access custom objects and fields in HubSpot with no extra configuration steps involved.
  • Use SQL stored procedures to perform functional operations like uploading or downloading attachments, inserting engagements, and creating or deleting custom objects or fields.

Users frequently integrate HubSpot with analytics tools such as Tableau, Power BI, and Excel, and leverage our tools to replicate HubSpot data to databases or data warehouses.

To learn about how other customers are using CData's HubSpot solutions, check out our blog: Drivers in Focus: Simplified HubSpot Connectivity.


Getting Started


Step 1: Download the skill (one-time setup)

Always use CData CLI with the official skill.

  1. The official CData CLI Skill is available on GitHub and installs through npx skills in the terminal: 
    npx skills add CDataSoftware/cli-skills
  2. Follow the prompts in the terminal to install for GitHub Copilot. 👁 Install for GitHub Copilot

Step 2: Set up the project directory

Create a project directory to contain all project files.

  1. Navigate to the directory within the terminal and start a session with the copilot command: 👁 Start a session
    👁 GitHub Copilot CLI UI

Step 3: Establish the driver and connection

Describe what you want to accomplish in this session with the CLI and HubSpot data.

I would like to build a command line app that connects to HubSpot data and checks for updates from Prospects. Make sure to include data from important columns like Slug and PageViews.

This prompt automatically loads the skill and kicks off the following process. You can always manually prompt the agent for each of the following steps.

  1. Driver setup: GitHub Copilot CLI checks for an existing CData HubSpot driver, or searches and downloads a new one: 
    • cdatacli drivers list
    • cdatacli drivers search --driver "HubSpot"
    • cdatacli drivers download --artifact-id <artifact-id>
  2. Activation: Activate the HubSpot driver with a single command for a trial or full license: 
    • cdatacli drivers activate "HubSpot" --name "<name>" --email "<email>" --trial
    • cdatacli drivers activate "HubSpot" --name "<name>" --email "<email>" --key "<product-key>"
  3. Establish the HubSpot connection: Check for existing HubSpot connections or create a new one: 
    • cdatacli connection list
    • cdatacli connection create --driver HubSpot --name my_hubspot_connection --connectionstring "Prop1=value1;Prop2=value2;..."
  4. Create a HubSpot skill (if applicable): CData provides driver instructions for popular sources. You can use these to generate a source-specific skill file that guides the agent through best practices for the driver.
    • Run the following command and save the output to your skills directory, either at the project level or globally. (Note: If you receive a "No instructions available for HubSpot" message, no driver instructions exist for this source. You can continue using the main driver skill.) 
      cdatacli drivers skill "HubSpot" > ~/skills/cdata-hubspot/SKILL.md

Step 4: Query HubSpot data

With the CData driver fully configured, your agent can now execute queries and write code against live HubSpot data: 

cdatacli query sql --connection my_hubspot_connection --sql "SELECT * FROM Prospects"

Query HubSpot data directly from your terminal with CData CLI

GitHub Copilot CLI and CData CLI together give your AI coding agent a direct path to live HubSpot data without custom middleware, scheduled syncs, or manual setup at each step. Describe your goal in plain language, 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 HubSpot today.

Ready to get started?

Download a free trial of the HubSpot Driver to get started:

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