Integrating Antigravity CLI with Odoo data via CData CLI
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.
Antigravity CLI is Google's terminal-first AI coding agent and the successor to Gemini CLI, built on the Antigravity 2.0 platform. It brings multi-step reasoning, multi-file editing, tool calling, and persistent history directly to your terminal, allowing it to autonomously plan and execute complex development tasks without requiring a graphical interface. Its support for integrations and agent skills 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, Antigravity 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 Odoo data to Antigravity CLI through CData CLI.
Prerequisites
About Odoo Data Integration
Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:
- Access live data from both Odoo API 8.0+ and Odoo.sh Cloud ERP.
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Extend the native Odoo features with intelligent handling of many-to-one, one-to-many, and many-to-many data properties. CData's connectivity solutions also intelligently handle complex data properties within Odoo. In addition to columns with simple values like text and dates, there are also columns that contain multiple values on each row. The driver decodes these kinds of values differently, depending upon the type of column the value comes from:
- Many-to-one columns are references to a single row within another model. Within CData solutions, many-to-one columns are represented as integers, whose value is the ID to which they refer in the other model.
- Many-to-many columns are references to many rows within another model. Within CData solutions, many-to-many columns are represented as text containing a comma-separated list of integers. Each value in that list is the ID of a row that is being referenced.
- One-to-many columns are references to many rows within another model - they are similar to many-to-many columns (comma-separated lists of integers), except that each row in the referenced model must belong to only one in the main model.
- Use SQL stored procedures to call server-side RFCs within Odoo.
Users frequently integrate Odoo with analytics tools such as Power BI and Qlik Sense, and leverage our tools to replicate Odoo data to databases or data warehouses.
Getting Started
Step 1: Download the skill (one-time setup)
Always use CData CLI with the official skill.
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The official CData CLI Skill on GitHub can be downloaded using npx skills through the terminal:
npx skills add CDataSoftware/cli-skills
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Follow the prompts in the terminal to install for Antigravity CLI.
Step 2: Set up the project directory
Create a project directory to contain all project files.
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Navigate to the directory within the terminal and start a session with the agy command:
Step 3: Establish the driver and connection
Describe what you want to accomplish in this session with the CLI and Odoo data.
I would like to build a command line app that connects to Odoo data and checks for updates from res_users. Make sure to include data from important columns like name and email.
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.
- Driver setup: Check for existing CData Odoo driver, or search and download a new one:
cdatacli drivers list
cdatacli drivers search Odoo
cdatacli drivers download --artifact-id <artifact-id>
- Activation: Activate the Odoo driver with a single command for a trial or full license:
cdatacli drivers activate Odoo --name "<name>" --email "<email>" --trial
cdatacli drivers activate Odoo --name "<name>" --email "<email>" --key "<product-key>"
- Establish the Odoo connection: Check for existing Odoo connections or create a new one:
cdatacli connection list
cdatacli connection create --driver Odoo --name <my_odoo_connection> --connectionstring "Prop1=value1;Prop2=value2;..."
- Create a Odoo 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.
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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 Odoo" message, no driver instructions exist for this source. You can continue using the main driver skill.)
cdatacli drivers skill Odoo > ~/skills/cdata-Odoo/SKILL.md
Step 4: Query Odoo data
With the CData driver fully configured, your agent can now execute queries and write code against live Odoo data:
cdatacli query sql --connection <my_odoo_connection> --sql "SELECT * FROM table"
Query Odoo data directly from your terminal with CData CLI
Antigravity CLI and CData CLI together give your AI coding agent a direct path to live Odoo 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 Odoo today.