Integrate Devin with Live Okta 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 Okta 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 Okta data. You can list catalogs, explore schemas, and query records from Okta data using natural language prompts, with all data access running securely against authorized sources.

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

Step 1: Configure Okta connectivity for Devin

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

    To connect to Okta, set the Domain connection string property to your Okta domain.

    You will use OAuth to authenticate with Okta, so you need to create a custom OAuth application.

    Creating a Custom OAuth Application

    From your Okta account:

    1. Sign in to your Okta developer edition organization with your administrator account.
    2. In the Admin Console, go to Applications > Applications.
    3. Click Create App Integration.
    4. For the Sign-in method, select OIDC - OpenID Connect.
    5. For Application type, choose Web Application.
    6. Enter a name for your custom application.
    7. Set the Grant Type to Authorization Code. If you want the token to be automatically refreshed, also check Refresh Token.
    8. Set the callback URL:
      • For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
      • For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
    9. In the Assignments section, either select Limit access to selected groups and add a group, or skip group assignment for now.
    10. Save the OAuth application.
    11. The application's Client Id and Client Secret are displayed on the application's General tab. Record these for future use. You will use the Client Id to set the OAuthClientId and the Client Secret to set the OAuthClientSecret.
    12. Check the Assignments tab to confirm that all users who must access the application are assigned to the application.
    13. On the Okta API Scopes tab, select the scopes you wish to grant to the OAuth application. These scopes determine the data that the app has permission to read, so a scope for a particular view must be granted for the driver to have permission to query that view. To confirm the scopes required for each view, see the view-specific pages in Data Model < Views in the Help documentation.
    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 Okta connection configured, Devin can now connect to Okta 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 Okta data from Devin

With the integration complete, start a Devin session and interact with live Okta 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 Okta
    • Query the top 5 records from a table in Okta
  3. Devin calls the Connect AI MCP Server and returns live results from Okta 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 Okta 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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