Integrate Google's Antigravity Agent with Live Jira Data via CData Connect AI

Yazhini G
Technical Marketing Engineer

Leverage the CData Connect AI Remote MCP Server to enable Antigravity agents to securely access and act on live Jira data using the Model Context Protocol.

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 Jira 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 Jira connectivity in Connect AI, generating required access token, registering the CData MCP Server in Antigravity, and validating the integration by querying live Jira data from an agent-driven workflow.

About Jira Data Integration

CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:

Gain bi-directional access to their Jira objects like issues, projects, and workflows.
Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.

Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.

Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.

Getting Started

Step 1: Configure Jira connectivity for Antigravity

Connectivity to Jira from Antigravity is made possible through CData Connect AI's Remote MCP Server. To interact with Jira data from Antigravity, start by creating and configuring a Jira connection in CData Connect AI.

Log into Connect AI, click Sources, and then click Add Connection

Select Jira from the Add Connection panel

Enter the necessary authentication properties to connect to Jira.
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
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 Jira connection configured and a PAT generated, Antigravity can now connect to Jira 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
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
Once the agent panel opens, click the "..." and select MCP Servers from the dropdown
Select Manage MCP Servers from the MCP Store, and click View raw config to open the MCP configuration file
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
Return to the Manage MCP Servers view and click Refresh to load the new MCP server

Step 3: Query live Jira 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
Start interacting with the agent by entering prompts such as:
- List all catalogs in my cdata-mcp connection.
- Show schemas and tables available for Jira.
- Query the top 3 records from a table in Jira data.

At this point, your Antigravity agent communicates with the CData Connect AI MCP Server and retrieves live Jira data through remote MCP tools.

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