Interact with Live Sage X3 Cloud 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 Sage X3 Cloud data. You can explore Sage X3 Cloud data, ask questions in plain language, and work with your records without writing custom integration code.

This article walks through configuring Sage X3 Cloud connectivity in Connect AI, configuring the CData MCP Server in Warp, and interacting with live Sage X3 Cloud data from the Warp Agent.

Step 1: Configure Sage X3 Cloud connectivity for Warp

Connectivity to Sage X3 Cloud from Warp is made possible through Connect AI's Remote MCP Server. To interact with Sage X3 Cloud data from Warp, start by creating and configuring a Sage X3 Cloud connection in Connect AI.

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

2. Select Sage X3 Cloud from the Add Connection panel

3. Enter the necessary authentication properties to connect to Sage X3 Cloud.

   Sage X3 Cloud uses the OAuth 2.0 Client Credentials flow, and an X-API-Key is also required for API access. Set AuthScheme to OAuth and specify the following connection properties:

   • URL: The base URL of your Sage X3 Cloud instance.
   • OAuthAccessTokenUrl: The OAuth token endpoint (e.g., https://your-auth-domain/oauth/token).
   • OAuthClientId: Your OAuth application client ID.
   • OAuthClientSecret: Your OAuth application client secret.
   • Audience: The API audience value for the token request.
   • XAPIKey: The X-API-Key provided by your Sage X3 Cloud administrator.
   • Folder: The Sage X3 folder name (e.g., SEED). This folder is used as the default schema.
   • Folders (optional): A comma-separated list of Sage X3 folders (e.g., SEED,PERF). Each folder is exposed as a separate schema, so you can query across folders with the Schema.Table syntax.

   The driver obtains an access token with the Client Credentials flow and sends it with the X-API-Key on every API request. With InitiateOAuth set to GETANDREFRESH (the default), the driver acquires and refreshes the token automatically.

   
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 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 Sage X3 Cloud connection configured and a PAT generated, Warp can now connect to Sage X3 Cloud 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 Sage X3 Cloud data through Connect AI.

Step 3: Interact with live Sage X3 Cloud data from the Warp Agent

Use natural language prompts in the Warp Agent to explore live Sage X3 Cloud 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 Sage X3 Cloud
   • Fetch the five most recent records from Sage X3 Cloud data
   
3. The agent calls the Connect AI MCP Server and returns live results from Sage X3 Cloud data

Your Warp Agent now calls the Connect AI MCP Server to interact with live Sage X3 Cloud 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.