Interact with Live SQL Analysis Services Data in Warp via CData Connect AI

Yazhini G
Yazhini G
Technical Marketing Engineer
Use the CData Connect AI Remote MCP Server to let Warp securely interact with live SQL Analysis Services data directly from the terminal and agent workflow.

Warp is an agentic development environment that combines a modern terminal with an AI agent. It supports large language model (LLM) interactions and Model Context Protocol (MCP) server integrations, so the agent can reach live external data sources without leaving the terminal.

By integrating Warp with CData Connect AI through its built-in MCP Server, the Warp Agent gets governed, real-time access to live SQL Analysis Services data. You can explore SQL Analysis Services data, ask questions in plain language, and work with your records without writing custom integration code.

This article walks through configuring SQL Analysis Services connectivity in Connect AI, configuring the CData MCP Server in Warp, and interacting with live SQL Analysis Services data from the Warp Agent.

Step 1: Configure SQL Analysis Services connectivity for Warp

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a connection in Connect AI
  3. Select SQL Analysis Services from the Add Connection panel
  4. Selecting data source
  5. 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)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Warp. 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. Creating a new PAT
  5. 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, Warp can now connect to SQL Analysis Services data through Connect AI.

Step 2: Configure Connect AI in Warp

Enable the Warp Agent, configure an LLM provider, and the Connect AI MCP endpoint in Warp so the agent can discover and call live data tools.

  1. Download and install Warp, and then sign up or log in to your Warp account
  2. Click the Tabs panel icon at the top left of the window, or press Ctrl + Shift + B Opening the Tabs panel in Warp
  3. Click Settings, expand Agents, select Warp Agent, and toggle Warp Agent on Enabling the Warp Agent in Settings

Configure an LLM provider

The Warp Agent needs an LLM provider to interpret your prompts and decide which MCP tools to call. Add an API key for your preferred provider.

  1. On the same Warp Agent page, scroll down to the Custom Inference section
  2. Enter the API key for the LLM provider of your choice (e.g., OpenAI, Anthropic, or Google) Adding an LLM API key under Custom Inference

Add the Connect AI MCP Server

  1. Under Agents, click MCP servers, and then click Add Adding a new MCP server in Warp
  2. In the Add New MCP Server editor, paste the following JSON configuration:
    {
      "mcpServers": {
        "CData_Connect_AI": {
          "url": "https://mcp.cloud.cdata.com/mcp",
          "headers": {
            "Authorization": "Basic your_base64_encoded_email_PAT"
          }
        }
      }
    }

    Note: Combine your Connect AI email and PAT in the format email:PAT, Base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ, the header value becomes something like: Basic dXNlckBteWRvbWFpbjphSzkvbVB4Mi9Rcjd2TjQ...

    Configuring Connect AI MCP Server
  3. Click Save to add the MCP server
  4. Under My MCPs, confirm that CData_Connect_AI appears with the toggle enabled and the tools available Verifying the Connect AI MCP Server is enabled in Warp

With the MCP server and an LLM provider configured, the Warp Agent is ready to interact with live SQL Analysis Services data through Connect AI.

Step 3: Interact with live SQL Analysis Services data from the Warp Agent

Use natural language prompts in the Warp Agent to explore live SQL Analysis Services data.

  1. Click the icon in the left navigation bar and select Agent Starting a new agent conversation in Warp
  2. Enter a prompt to interact with your data, for example:
    • List the sources available in my CData_Connect_AI mcp connection
    • Show me what I can explore in SQL Analysis Services
    • Fetch the five most recent records from SQL Analysis Services data
    Entering a prompt in the Warp Agent
  3. The agent calls the Connect AI MCP Server and returns live results from SQL Analysis Services data Interacting with live data from the Warp Agent

Your Warp Agent now calls the Connect AI MCP Server to interact with live SQL Analysis Services data through remote MCP tools, all from the terminal.

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