Build Zuora-Connected Applications in Kiro with CData Connect AI MCP Server

Somya Sharma
Somya Sharma
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Kiro to securely access, query, and take action on live Zuora data without replication.

Kiro is an agentic AI IDE from AWS that takes a spec-driven approach to software development, turning a natural language prompt into a detailed spec, then into working code, tests, and documentation. Available as a desktop IDE and CLI, Kiro supports remote MCP servers natively across all plans, letting agents pull live context from enterprise systems while they build.

By integrating Kiro with CData Connect AI through the MCP (Model Context Protocol), Kiro agents gain the ability to query, analyze, and act on live Zuora data directly inside any coding session. Connect AI manages authentication, security, and query optimization so you can focus on building intelligent applications, while Kiro handles spec generation, code writing, and task execution.

This article outlines the steps to configure Zuora connectivity in Connect AI, generate the required authentication credentials, register the Connect AI MCP Server in Kiro, and verify that your agent can successfully interact with live Zuora data during coding sessions.

Prerequisites

Step 1: Configure Zuora Connectivity for Kiro

Connectivity to Zuora from Kiro is made possible through Connect AI's Remote MCP Server. To interact with Zuora data from your Kiro agent sessions, start by creating and configuring a Zuora connection in Connect AI.

  1. Log into Connect AI, click Sources, and then click Add Connection. Adding a Connection in Connect AI
  2. Select Zuora from the Add Connection panel. Selecting a data source
  3. Enter the necessary authentication properties to connect to Zuora.

    Zuora uses the OAuth standard to authenticate users. See the online Help documentation for a full OAuth authentication guide.

    Configuring Tenant property

    In order to create a valid connection with the provider you need to choose one of the Tenant values (USProduction by default) which matches your account configuration. The following is a list with the available options:

    • USProduction: Requests sent to https://rest.zuora.com.
    • USAPISandbox: Requests sent to https://rest.apisandbox.zuora.com"
    • USPerformanceTest: Requests sent to https://rest.pt1.zuora.com"
    • EUProduction: Requests sent to https://rest.eu.zuora.com"
    • EUSandbox: Requests sent to https://rest.sandbox.eu.zuora.com"

    Selecting a Zuora Service

    Two Zuora services are available: Data Query and AQuA API. By default ZuoraService is set to AQuADataExport.

    DataQuery

    The Data Query feature enables you to export data from your Zuora tenant by performing asynchronous, read-only SQL queries. We recommend to use this service for quick lightweight SQL queries.

    Limitations
    • The maximum number of input records per table after filters have been applied: 1,000,000
    • The maximum number of output records: 100,000
    • The maximum number of simultaneous queries submitted for execution per tenant: 5
    • The maximum number of queued queries submitted for execution after reaching the limitation of simultaneous queries per tenant: 10
    • The maximum processing time for each query in hours: 1
    • The maximum size of memory allocated to each query in GB: 2
    • The maximum number of indices when using Index Join, in other words, the maximum number of records being returned by the left table based on the unique value used in the WHERE clause when using Index Join: 20,000

    AQuADataExport

    AQuA API export is designed to export all the records for all the objects ( tables ). AQuA query jobs have the following limitations:

    Limitations
    • If a query in an AQuA job is executed longer than 8 hours, this job will be killed automatically.
    • The killed AQuA job can be retried three times before returned as failed.
    Configuring a connection (Salesforce is shown)
  4. Click Save & Test.
  5. Navigate to the Permissions tab in the Add Zuora Connection page and update the 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 Kiro. 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 (e.g., Kiro MCP) and click Create. Creating a new PAT

With the Zuora connection configured and a PAT generated, Kiro can now connect to Zuora data through Connect AI.


Step 2: Register the CData Connect AI MCP Server in Kiro

Kiro connects to external data sources through MCP servers configured in a file called mcp.json. In this step, you will open that file, add the Connect AI server details, and verify the connection.

  1. Open a project folder. Kiro requires an open project before its agent features activate. When Kiro launches, click Open a project on the Getting started screen (or click Open Folder in the Explorer panel on the left). You can open any existing folder or create a new empty one, it just needs to be open. Opening a project folder in Kiro
  2. Open the MCP config file. Press Ctrl + Shift + P (Windows) or Cmd + Shift + P (Mac) to open the command palette. Type MCP and select Kiro: Open user MCP config (JSON). This opens the mcp.json file where you register MCP servers for Kiro. Opening the Kiro user MCP configuration
  3. Generate your Base64 credentials. Kiro authenticates with Connect AI using your email and PAT, encoded together as a single Base64 string. Open a terminal and run the command for your operating system. Replace [email protected] with your Connect AI login email and YourPAT with the PAT you created in Step 1.

    Windows (PowerShell):

    [Convert]::ToBase64String([Text.Encoding]::UTF8.GetBytes("[email protected]:YourPAT"))

    Mac/Linux (Terminal):

    echo -n "[email protected]:YourPAT" | base64

    Copy the output string. You will paste it into the config file in the next step.

  4. Add the Connect AI server to mcp.json. Paste the following block into your mcp.json file. Replace your_base64_string with the string you copied in the previous step:
    {
      "mcpServers": {
        "cdata-connect-ai": {
          "url": "https://mcp.cloud.cdata.com/mcp",
          "headers": {
            "Authorization": "Basic your_base64_string"
          }
        }
      }
    }    
    Configuring the Connect AI MCP server in mcp.json
  5. Save the file. Press Ctrl + S (Windows) or Cmd + S (Mac). Kiro picks up changes to mcp.json automatically, no restart is needed.
  6. Verify the connection. Click the ghost icon in the left sidebar to open the Kiro panel. Under MCP SERVERS, you should see cdata-connect-ai with a green connected indicator. You can also confirm by typing the following in the Kiro chat panel:
    List all available connections from Connect AI.

    If your Zuora connection appears in the response, the MCP server is set up correctly and you are ready to query live data.

    Verifying the Connect AI MCP server connection in Kiro

Step 3: Query Live Zuora Data from Kiro

With the MCP server registered and verified, Kiro agents can now access your live Zuora data directly in any session. Open the Kiro chat panel and use the following prompts to interact with your data.

The integration uses the following Connect AI MCP tools in sequence:

MCP tool Purpose
getCatalogsRetrieves all available connections from Connect AI
getSchemasRetrieves the database schemas for the selected connection
getTablesRetrieves all tables and views for the selected schema
queryDataExecutes the generated SQL query and returns live results

Open the Kiro chat panel and try the following prompts to interact with your Zuora data:

  • "What tables are available in my Zuora connection?"
  • "What are the top records in Zuora data ordered by revenue?"
  • "List all active Zuora data and their current status."
  • "Summarize Zuora data activity for this quarter."

Kiro automatically discovers all CData connections, selects the most relevant connection, discovers the schema, generates, and executes the appropriate SQL query, and returns live results directly in the chat.

Build real-time, data-aware applications with Kiro and CData

Kiro and CData Connect AI together enable intelligent, AI-driven development where natural language prompts are automatically translated into live data operations across enterprise systems, without ETL pipelines, data sync jobs, or custom integration logic. This streamlined approach delivers stronger governance, lower operational overhead, and faster, more grounded responses from AI-powered agents.

Start a free trial today to see how CData Connect AI can empower Kiro with live, secure access to hundreds of enterprise systems.

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