Integrate OpenCode with Live Okta Data via CData Connect AI

OpenCode is an open source AI coding agent that connects to a wide range of LLM providers. It supports the model context protocol (MCP), allowing you to configure local or remote MCP servers in its configuration files to add external tools and data sources and give the agent access to live data.

By integrating OpenCode with CData Connect AI through the built-in MCP Server, OpenCode 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, generate the required personal access token, install OpenCode, add the Connect AI MCP Server in the project configuration file, configure an LLM provider, and verify the integration by querying live Okta data from OpenCode.

Step 1: Configure Okta connectivity for OpenCode

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

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

2. Select Okta from the Add Connection panel

3. 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.
   
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 OpenCode. 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 Okta connection configured and a PAT generated, OpenCode can now connect to Okta data through Connect AI.

Step 2: Install OpenCode and configure the Connect AI MCP Server

Next, install OpenCode, add the Connect AI Remote MCP Server in your project configuration file, and configure an LLM provider so the agent can discover and call live data tools through Connect AI.

1. Download and install OpenCode by following the official installation guide
2. Create a new folder for your project, or open an existing project directory
3. In the root of that directory, create a file named opencode.json and paste the following configuration:

   {
     "$schema": "https://opencode.ai/config.json",
     "mcp": {
       "cdata-connect-ai": {
         "type": "remote",
         "url": "https://mcp.cloud.cdata.com/mcp",
         "enabled": true,
         "oauth": false,
         "headers": {
           "Authorization": "Basic your_base64_encoded_email_PAT"
         },
         "timeout": 30000
       }
     }
   }
   		

   Note: OpenCode will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ789, the Authorization header value becomes something like: Basic dXNlckBkb21haW4uY29tOkFCQzEyMy4uLlhZWjc4OQ==

4. Open the project directory in OpenCode. Select the project from the project dropdown, or click Add project to point OpenCode at the folder that contains opencode.json
5. Configure an LLM provider so the agent can interpret prompts and call MCP tools. Open the model selector (Ctrl + '), choose a provider such as OpenAI, Anthropic, or Google, and enter your API key

With the MCP server added in opencode.json and an LLM provider configured, OpenCode is ready to query live Okta data through Connect AI.

Step 3: Query live Okta data from OpenCode

With the integration complete, use OpenCode to interact with live Okta data through natural language prompts handled by the configured LLM.

1. In a new session, type a prompt in the chat input, for example:
   • Use the cdata-connect-ai tools to list all available catalogs
   • Show the available schemas and tables for Okta
   • Query the top 5 records from a table in Okta
2. OpenCode calls the Connect AI MCP Server and returns live results from Okta data

At this point, OpenCode communicates with the Connect AI MCP Server and retrieves live Okta data through remote MCP tools directly from your AI coding agent.

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