Integrate Google's Antigravity Agent with Live SQL 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 SQL 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 explains how to configure SQL Analysis Services connectivity in Connect AI, generate the required access token, register CData Connect AI in Antigravity, and validate the integration by querying live SQL Analysis Services data from an agent-driven workflow.

Step 1: Configure SQL Analysis Services connectivity for Antigravity

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

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a connection in Connect AI

2. Select SQL Analysis Services from the Add Connection panel
👁 Selecting data source

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

   To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

   To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

   • HTTP Authentication

     Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

   • Windows (NTLM)

     Set the Windows User and Password and set AuthScheme to "NTLM".

   • Kerberos and Kerberos Delegation

     To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

   • SSL/TLS:

     By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

   You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

   See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab and update user-based permissions
👁 Updating 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
👁 Creating a new PAT

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

With the SQL Analysis Services connection configured and a PAT generated, Antigravity can now connect to SQL Analysis Services data through CData Connect AI.

Step 2: Configure Connect AI in Antigravity

Next, register Connect AI 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 👁 Selecting agent-driven development
   
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 👁 Selecting MCP Servers
   
5. Select Manage MCP Servers from the MCP Store, and click View raw config to open the MCP configuration file 👁 Selecting
   
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==

   👁 Editing the Config file
   
7. Save the configuration file
8. Return to the Manage MCP Servers view and click Refresh to load the new MCP server 👁 Configured Connect AI
   

Step 3: Query live SQL 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 SQL Analysis Services.
   • Query the top 3 records from a table in SQL Analysis Services data.
   👁 Querying CData MCP from Antigravity
   

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

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