Integrate Google's Antigravity Agent with Live Odoo Data via CData Connect AI
Antigravity is an AI-native development environment designed around autonomous and semi-autonomous agents. It allows developers to run agent-driven workflows directly inside the editor, combining planning, execution, and tool usage in a single interface.
By integrating Antigravity with CData Connect AI through the built-in MCP (Model Context Protocol) Server, agents gain governed, real-time access to live Odoo data. This enables Antigravity agents to explore schemas, query data, and perform actions without manual data movement or custom API wiring.
This article walks through configuring Odoo connectivity in Connect AI, generating required access token, registering the CData MCP Server in Antigravity, and validating the integration by querying live Odoo data from an agent-driven workflow.
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: Configure Odoo connectivity for Antigravity
Connectivity to Odoo from Antigravity is made possible through CData Connect AI's Remote MCP Server. To interact with Odoo data from Antigravity, start by creating and configuring a Odoo connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select Odoo from the Add Connection panel
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Enter the necessary authentication properties to connect to Odoo.
To connect, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.
- Click Save & Test
- Navigate to the Permissions tab and update user-based permissions
Add a Personal Access Token
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Antigravity. It is best practice to create a separate PAT for each integration to maintain granular access control.
- Click the gear icon () at the top right of the Connect AI app to open Settings
- On the Settings page, go to the Access Tokens section and click Create PAT
- Give the PAT a descriptive name and click Create
- Copy the token when displayed and store it securely. It will not be shown again
With the Odoo connection configured and a PAT generated, Antigravity can now connect to Odoo data through the CData MCP Server.
Step 2: Configure the CData MCP Server in Antigravity
Next, register the CData MCP Server in Antigravity. Antigravity reads MCP server definitions from a raw configuration file, allowing agents to dynamically discover and invoke the sources exposed by Connect AI.
- Download the Antigravity desktop application and sign in using your Google account
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During the initial setup flow, select Agent-driven development when prompted. This mode enables autonomous agents with tool execution capabilities
- Once you have completed the Antigravity setup and the IDE is open, you can access the built-in agent interface to manage MCP servers. From the top menu, click Toggle Agent or press Ctrl + Alt + B to open the agent panel
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Once the agent panel opens, click the "..." and select MCP Servers from the dropdown
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Select Manage MCP Servers from the MCP Store, and click View raw config to open the MCP configuration file
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Paste the following json into the file:
{ "mcpServers": { "cdata-mcp": { "serverUrl": "https://mcp.cloud.cdata.com/mcp", "headers": { "Authorization": "Basic your_base64_encoded_email_PAT", "Content-Type": "application/json" } } } }Note: Antigravity will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier and base64 encode the value. For example, given username and PAT like [email protected]:ABC123...XYZ789, the value for the Authorization header is something like: Basic dXNlckBteWRvbWFpbjphSzkvbVB4Mi9Rcjd2TjQvTHc4Qi96WTZqQzMvRnQ1SGcxL0RzMFVlL01iWHdKdg==
- Save the configuration file
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Return to the Manage MCP Servers view and click Refresh to load the new MCP server
Step 3: Query live Odoo data from Antigravity agent
With the MCP server registered, Antigravity agents can now interact with your live data sources exposed by Connect AI to explore schemas and run queries.
- Open the agent panel again using Toggle Agent
- Start a new conversation in the agent chat
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Start interacting with the agent by entering prompts such as:
- List all catalogs in my cdata-mcp connection.
- Show schemas and tables available for Odoo.
- Query the top 3 records from a table in Odoo data.
At this point, your Antigravity agent communicates with the CData Connect AI MCP Server and retrieves live Odoo data through remote MCP tools.
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