Interact with Live Azure Data Lake Storage Data in Warp via CData Connect AI

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 Azure Data Lake Storage data. You can explore Azure Data Lake Storage data, ask questions in plain language, and work with your records without writing custom integration code.

This article walks through configuring Azure Data Lake Storage connectivity in Connect AI, configuring the CData MCP Server in Warp, and interacting with live Azure Data Lake Storage data from the Warp Agent.

Step 1: Configure Azure Data Lake Storage connectivity for Warp

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

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

2. Select Azure Data Lake Storage from the Add Connection panel

3. Enter the necessary authentication properties to connect to Azure Data Lake Storage.

   Authenticating to a Gen 1 DataLakeStore Account

   Gen 1 uses OAuth 2.0 in Entra ID (formerly Azure AD) for authentication.

   For this, an Active Directory web application is required. You can create one as follows:

   1. Sign in to your Azure Account through the .
   2. Select "Entra ID" (formerly Azure AD).
   3. Select "App registrations".
   4. Select "New application registration".
   5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
   6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
   7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

   To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen1.
   • Account: Set this to the name of the account.
   • OAuthClientId: Set this to the application Id of the app you created.
   • OAuthClientSecret: Set this to the key generated for the app you created.
   • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

   Authenticating to a Gen 2 DataLakeStore Account

   To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen2.
   • Account: Set this to the name of the account.
   • FileSystem: Set this to the file system which will be used for this account.
   • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.
   
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 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 Personal 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 Data Lake Storage connection configured and a PAT generated, Warp can now connect to Azure Data Lake Storage 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
3. Click Settings, expand Agents, select Warp Agent, and toggle Warp Agent on

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)

Add the Connect AI MCP Server

1. Under Agents, click MCP servers, and then click Add
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...

   
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

With the MCP server and an LLM provider configured, the Warp Agent is ready to interact with live Azure Data Lake Storage data through Connect AI.

Step 3: Interact with live Azure Data Lake Storage data from the Warp Agent

Use natural language prompts in the Warp Agent to explore live Azure Data Lake Storage data.

1. Click the icon in the left navigation bar and select Agent
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 Azure Data Lake Storage
   • Fetch the five most recent records from Azure Data Lake Storage data
   
3. The agent calls the Connect AI MCP Server and returns live results from Azure Data Lake Storage data

Your Warp Agent now calls the Connect AI MCP Server to interact with live Azure Data Lake Storage data through remote MCP tools, all from the terminal.

Get CData Connect AI

To interact with hundreds of SaaS and enterprise data sources directly from your AI agents and cloud applications, try CData Connect AI. Download a free 14-day trial of CData Connect AI, and our Support Team is available to answer any questions.