Access Live SQL Analysis Services Data in Roo Code via CData Connect AI

Roo Code is an open-source AI coding agent that runs inside VS Code with real file system access, terminal control, and multi-step workflows. It works across entire project workspaces through specialized modes like Code, Architect, and Orchestrator. Available as a VS Code Extension for local development, or as Cloud Agents that integrate with Slack and GitHub. Roo Code natively supports MCP, connecting external tools and data sources via STDIO or Streamable HTTP.

By default, Roo Code has no access to live enterprise data. CData Connect AI bridges this gap by exposing hundreds of data sources. Once connected, Roo can introspect live schemas, validate queries, and generate code directly inside VS Code, retrieved by real enterprise data.

Step 1: Configure SQL Analysis Services connectivity for Roo Code

Connectivity to SQL Analysis Services from Roo Code is made possible through CData Connect AI's Remote MCP Server. To interact with SQL Analysis Services data from Roo Code, 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

2. Select SQL Analysis Services from the Add Connection panel

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.

   
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 Roo Code. 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 SQL Analysis Services connection configured and a PAT generated, Roo Code can now connect to SQL Analysis Services data through Connect AI.

Step 2: Configure Connect AI in Roo Code

CData Connect AI can be integrated with Roo Code by registering the MCP Server directly in the Roo Code MCP configuration panel. Once registered, Roo Code agents can call live SQL Analysis Services data through MCP tools without additional setup.

Method 1: Direct MCP configuration

Users can register the CData Connect AI MCP Server directly in the Roo Code MCP settings. Once registered, agents in any project can query live SQL Analysis Services data through MCP tools without additional setup.

1. Open VS Code with the Roo Code extension installed
2. Click the Roo Code icon in the Activity Bar
3. Navigate to Settings, then choose MCP Servers in the Roo Code pane and turn on Enable MCP Servers, now click Edit Global MCP to open the MCP configuration file
4. In the mcp_settings.json file, add the following inside the mcpServers object, replacing base64encode with your Base64-encoded email:PAT

   {
       "mcpServers": {
           "cdata-mcp": {
               "type": "streamable-http",
               "url": "https://mcp.cloud.cdata.com/mcp",
               "headers": {
                   "Authorization": "Basic base64encode(USERNAME:PAT)"
               }
           }
       }
   }
           

   
5. Save the file to register the MCP server
6. Return to the MCP Servers panel and confirm that cdata-mcp is listed and its toggle is enabled. If it is not enabled, toggle it on

With the CData MCP Server registered and enabled, Roo Code agents can now query and act on live SQL Analysis Services data through Connect AI in any project.

Query live SQL Analysis Services data from Roo Code

With the MCP server configured, start a conversation in the Roo Code chat panel to interact with live SQL Analysis Services data.

1. Open the Roo Code chat and enter a prompt to explore your data, for example:
   • List all available catalogs in my cdata-mcp connection.
   • Show the schemas and tables available for SQL Analysis Services.
   • Query the top 5 records from SQL Analysis Services data.
2. The agent calls the CData Connect AI MCP Server and returns live results from SQL Analysis Services data

Method 2: Build an application with natural language

Users can direct Roo Code to build a full application that connects to the CData Connect AI MCP Server through a natural language prompt. The agent gathers the required endpoint and credentials interactively, then generates a working application wired to live SQL Analysis Services data — all from the Roo Code chat panel inside VS Code.

1. Open the Roo Code panel in VS Code and select your preferred model from the dropdown
2. Enter a prompt that describes the application you want to build. For example:

   I would like to build a small application that connects to a remote MCP 
   HTTPS server. I already have the MCP endpoint URL and the required 
   credentials. The application should:
     - Establish a connection to the remote MCP server
     - Authenticate using the provided credentials
     - Retrieve and list all available catalogs from the MCP
   
   Please make sure the credentials are stored securely in a .env file
   and not hardcoded in the application.
           

3. Roo Code will prompt you to provide the MCP endpoint URL and authentication credentials. Supply the following values:
   • MCP Endpoint URL: https://mcp.cloud.cdata.com/mcp
   • Authorization: Basic base64(email:PAT)
4. Roo Code creates the project directory, initializes a Node.js project, installs the necessary packages, and stores credentials securely in a .env file

At this point, Roo Code has built an application that communicates with the CData Connect AI MCP Server and retrieves live SQL Analysis Services data, all from a single natural language prompt inside VS Code.

Get CData Connect AI

To access hundreds of SaaS, Big Data, and NoSQL sources directly from Roo Code, try CData Connect AI today! Sign up for a free 14-day trial of CData Connect AI, and as always, our world-class Support Team is available to assist you with any questions you may have.