Integrate Devin with Live JD Edwards Data Using CData Connect AI

Anusha M B
Anusha M B
Technical Marketing Engineer
Use the CData Connect AI Remote MCP Server to enable Devin, the AI software engineer, to securely access and query live JD Edwards data.

Devin is an AI software engineer from Cognition that plans, writes, and tests code in autonomous sessions. It supports the model context protocol (MCP) through its built-in MCP marketplace, allowing you to install remote MCP servers and give Devin access to external tools and live data sources.

By integrating Devin with CData Connect AI through the built-in MCP Server, Devin gains governed, real-time access to live JD Edwards data. You can list catalogs, explore schemas, and query records from JD Edwards data using natural language prompts, with all data access running securely against authorized sources.

This article explains how to configure JD Edwards connectivity in Connect AI, install the CData Connect AI MCP Server from the Devin MCP marketplace, and verify the integration by querying live JD Edwards data from a Devin session.

Step 1: Configure JD Edwards connectivity for Devin

Connectivity to JD Edwards from Devin is made possible through Connect AI's Remote MCP Server. To interact with JD Edwards data from Devin, start by creating and configuring a JD Edwards 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 JD Edwards from the Add Connection panel
  4. Selecting data source
  5. Enter the necessary authentication properties to connect to JD Edwards.

    The driver connects to JD Edwards through your Application Interface Services (AIS) Server. Set the following connection properties:

    • URL: The base HTTPS URL of your AIS Server (e.g., https://jde-ais.example.com:8300).
    • User: Your JD Edwards username.
    • Password: Your JD Edwards password.
    • Environment (optional): The JD Edwards environment to use (e.g., PD920 for production or DV920 for development). If not specified, the AIS Server's default environment is used.
    • Role (optional): The JD Edwards role for the session. If not specified, the AIS Server's default role is used.
    • DeviceName (optional): An identifier for the connecting device or application, used for auditing and logging on the AIS Server.
    • Jasserver (optional): The specific Java Application Server (JAS) instance to route requests through, useful in clustered environments.

    Choosing Which Data Is Exposed

    JD Edwards organizes tables and business views by System Code, and the driver exposes each System Code as its own schema. Use these properties to control which schemas are available:

    • DataModel: One or more ERP modules (comma-separated) whose System Codes are exposed as schemas, or All to expose every System Code in the connected instance. Defaults to FinancialManagement.
    • SystemCodes: A comma-separated list of additional System Codes to expose alongside those from DataModel (e.g., 42,43).

    When you connect, the driver sends your credentials to the AIS Server to obtain a session token and caches it. The driver requests a new token automatically before the session expires.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. Updating permissions

With the JD Edwards connection configured, Devin can now connect to JD Edwards data through Connect AI.

Step 2: Install the Connect AI MCP Server in Devin

Next, install the CData Connect AI MCP Server from the Devin MCP servers list so your sessions can discover and call live data tools through Connect AI.

Note: Installing MCP servers in Devin requires the Manage MCP Servers permission. If you don't have this permission, use the Suggest option or contact your organization admin.

  1. Log into Devin and navigate to Settings and Connections, then select the MCP servers tab
  2. Search for CData Connect AI in the marketplace and select the verified listing
  3. Viewing MCP servers in Devin and searching for CData Connect AI
  4. Click Install and enable. When prompted, complete the OAuth flow to authenticate with your Connect AI account Installing the Connect AI MCP Server in Devin
  5. Once installed, confirm the Enable in sessions toggle is on and click Test tools. Devin validates the connection and lists the available Connect AI tools, such as getCatalogs, getSchemas, getTables, and queryData Verifying the Connect AI MCP tools in Devin

With the MCP server installed and enabled, the Connect AI tools are available to every Devin session in your workspace.

Step 3: Query live JD Edwards data from Devin

With the integration complete, start a Devin session and interact with live JD Edwards data through natural language prompts.

  1. From the Devin home page, start a new session
  2. In the session prompt, ask Devin to work with your Connect AI data, for example:
    • Can you list the connections in CData Connect AI
    • Show the available schemas and tables for JD Edwards
    • Query the top 5 records from a table in JD Edwards
  3. Devin calls the Connect AI MCP Server and returns live results from JD Edwards data directly in the session. You can follow the tool calls, inputs, and outputs in the Progress panel Querying live data from a Devin session

At this point, Devin communicates with the Connect AI MCP Server and retrieves live JD Edwards data through remote MCP tools directly from your sessions, whether you're exploring data, building features against it, or automating engineering tasks.

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