Integrate Google's Antigravity Agent with Live Azure Analysis Services 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 Azure Analysis Services 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 Azure Analysis Services connectivity in Connect AI, generating required access token, registering the CData MCP Server in Antigravity, and validating the integration by querying live Azure Analysis Services data from an agent-driven workflow.

Step 1: Configure Azure Analysis Services connectivity for Antigravity

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

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

2. Select Azure Analysis Services from the Add Connection panel

3. Enter the necessary authentication properties to connect to Azure Analysis Services.

   To connect to Azure Analysis Services, set the Url property to a valid server, for instance, asazure://southcentralus.asazure.windows.net/server, in addition to authenticating. Optionally, set Database to distinguish which Azure database on the server to connect to.

   Azure Analysis Services uses the OAuth authentication standard. OAuth requires the authenticating user to interact with Azure Analysis Services using the browser. You can connect without setting any connection properties for your user credentials. See the Help documentation for more information.

   
4. Click Save & Test
5. 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.

1. Click the gear icon () at the top right of the Connect AI app to open Settings
2. On the Settings page, go to the Access Tokens section and click Create PAT
3. Give the PAT a descriptive name and click Create

4. Copy the token when displayed and store it securely. It will not be shown again

With the Azure Analysis Services connection configured and a PAT generated, Antigravity can now connect to Azure Analysis Services 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.

1. Download the Antigravity desktop application and sign in using your Google account
2. During the initial setup flow, select Agent-driven development when prompted. This mode enables autonomous agents with tool execution capabilities
3. 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
4. Once the agent panel opens, click the "..." and select MCP Servers from the dropdown
5. Select Manage MCP Servers from the MCP Store, and click View raw config to open the MCP configuration file
6. 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==

   
7. Save the configuration file
8. Return to the Manage MCP Servers view and click Refresh to load the new MCP server

Step 3: Query live Azure Analysis Services 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.

1. Open the agent panel again using Toggle Agent
2. Start a new conversation in the agent chat
3. Start interacting with the agent by entering prompts such as:
   • List all catalogs in my cdata-mcp connection.
   • Show schemas and tables available for Azure Analysis Services.
   • Query the top 3 records from a table in Azure Analysis Services data.
   

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

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