Use ChatGPT to Talk to Your PingOne Data via CData Connect AI
ChatGPT is an AI chatbot developed by OpenAI, launched in November 2022. Based on large language models (LLMs), it enables users to refine and steer conversations through natural language processing. ChatGPT's developer mode, available to Plus and Pro subscribers, provides full Model Context Protocol (MCP) support for connecting to external data sources and tools.
CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to PingOne data. The CData Connect AI Remote MCP Server enables secure communication between ChatGPT and PingOne. This allows you to ask questions and take actions on your PingOne data using ChatGPT, all without the need for data replication to a natively supported database. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to PingOne. This leverages server-side processing to swiftly deliver the requested PingOne data.
Step 1: Configure PingOne Connectivity for ChatGPT
Connectivity to PingOne from ChatGPT is made possible through CData Connect AI Remote MCP. To interact with PingOne data from ChatGPT, we start by creating and configuring a PingOne connection in CData Connect AI.
- Log into your Connect AI account, click Sources, and then click Add Connection.
- Select "PingOne" from the Add Connection panel.
-
Enter the necessary authentication properties to connect to PingOne.
To connect to PingOne, configure these properties:
- Region: The region where the data for your PingOne organization is being hosted.
- AuthScheme: The type of authentication to use when connecting to PingOne.
- Either WorkerAppEnvironmentId (required when using the default PingOne domain) or AuthorizationServerURL, configured as described below.
Configuring WorkerAppEnvironmentId
WorkerAppEnvironmentId is the ID of the PingOne environment in which your Worker application resides. This parameter is used only when the environment is using the default PingOne domain (auth.pingone). It is configured after you have created the custom OAuth application you will use to authenticate to PingOne, as described in Creating a Custom OAuth Application in the Help documentation.
First, find the value for this property:
- From the home page of your PingOne organization, move to the navigation sidebar and click Environments.
- Find the environment in which you have created your custom OAuth/Worker application (usually Administrators), and click Manage Environment. The environment's home page displays.
- In the environment's home page navigation sidebar, click Applications.
- Find your OAuth or Worker application details in the list.
-
Copy the value in the Environment ID field.
It should look similar to:
WorkerAppEnvironmentId='11e96fc7-aa4d-4a60-8196-9acf91424eca'
Now set WorkerAppEnvironmentId to the value of the Environment ID field.
Configuring AuthorizationServerURL
AuthorizationServerURL is the base URL of the PingOne authorization server for the environment where your application is located. This property is only used when you have set up a custom domain for the environment, as described in the PingOne platform API documentation. See Custom Domains.
Authenticating to PingOne with OAuth
PingOne supports both OAuth and OAuthClient authentication. In addition to performing the configuration steps described above, there are two more steps to complete to support OAuth or OAuthCliet authentication:
- Create and configure a custom OAuth application, as described in Creating a Custom OAuth Application in the Help documentation.
- To ensure that the driver can access the entities in Data Model, confirm that you have configured the correct roles for the admin user/worker application you will be using, as described in Administrator Roles in the Help documentation.
- Set the appropriate properties for the authscheme and authflow of your choice, as described in the following subsections.
OAuth (Authorization Code grant)
Set AuthScheme to OAuth.
Desktop Applications
Get and Refresh the OAuth Access Token
After setting the following, you are ready to connect:
- InitiateOAuth: GETANDREFRESH. To avoid the need to repeat the OAuth exchange and manually setting the OAuthAccessToken each time you connect, use InitiateOAuth.
- OAuthClientId: The Client ID you obtained when you created your custom OAuth application.
- OAuthClientSecret: The Client Secret you obtained when you created your custom OAuth application.
- CallbackURL: The redirect URI you defined when you registered your custom OAuth application. For example: https://localhost:3333
When you connect, the driver opens PingOne's OAuth endpoint in your default browser. Log in and grant permissions to the application. The driver then completes the OAuth process:
- The driver obtains an access token from PingOne and uses it to request data.
- The OAuth values are saved in the location specified in OAuthSettingsLocation, to be persisted across connections.
The driver refreshes the access token automatically when it expires.
For other OAuth methods, including Web Applications, Headless Machines, or Client Credentials Grant, refer to the Help documentation.
- Click Save & Test
With the connection configured, we are ready to connect to PingOne data from ChatGPT.
Step 2: Connect ChatGPT to CData Connect AI
Follow these steps to add a CData Connect AI connection in ChatGPT:
- Sign in to ChatGPT with a Plus or Pro subscription.
- Navigate to Apps from the left panel.
- Select the CData Connect AI app from the list. .
- Click Connect to authenticate to your Connect AI account.
- Click Sign in with CData Connect AI to add Connect AI to your ChatGPT account.
- After successful authorization, you will be redirected back to ChatGPT.
- Click Start Chat to start a new conversation in ChatGPT with Connect AI connected at the background.
Step 3: Explore Live PingOne Data with ChatGPT
- Start a new conversation in ChatGPT.
- Connect AI should ideally be automatically enabled in the chat. If not, navigate to -> More -> CData Connect AI, under the chatbox, to enable the connector from the dropdown
- You can now start exploring your data with natural language prompts. ChatGPT will use the Connect AI MCP server to query your live PingOne data. Example prompts:
- "Show me all customers from the last 30 days"
- "What are my top performing products?"
- "Analyze sales trends for this quarter"
- "List all active projects and their current status"
- Permit ChatGPT to access your PingOne data. Click Query Data to continue, or Deny to refuse.
- ChatGPT translates your natural language queries into SQL and execute them against your PingOne data through the Connect AI MCP server.
Get CData Connect AI
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!