Use ChatGPT to Talk to Your SingleStore 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 SingleStore data. The CData Connect AI Remote MCP Server enables secure communication between ChatGPT and SingleStore. This allows you to ask questions and take actions on your SingleStore 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 SingleStore. This leverages server-side processing to swiftly deliver the requested SingleStore data.

Step 1: Configure SingleStore Connectivity for ChatGPT

Connectivity to SingleStore from ChatGPT is made possible through CData Connect AI Remote MCP. To interact with SingleStore data from ChatGPT, we start by creating and configuring a SingleStore connection in CData Connect AI.

1. Log into your Connect AI account, click Sources, and then click Add Connection.
👁 Adding a Connection

2. Select "SingleStore" from the Add Connection panel.
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to SingleStore.

   The following connection properties are required in order to connect to data.

   • Server: The host name or IP of the server hosting the SingleStore database.
   • Port: The port of the server hosting the SingleStore database.
   • Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.

   Connect Using Standard Authentication

   To authenticate using standard authentication, set the following:

   • User: The user which will be used to authenticate with the SingleStore server.
   • Password: The password which will be used to authenticate with the SingleStore server.

   Connect Using Integrated Security

   As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.

   Connect Using SSL Authentication

   You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:

   • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
   • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
   • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
   • SSLClientCertType: The certificate type of the client store.
   • SSLServerCert: The certificate to be accepted from the server.

   Connect Using SSH Authentication

   Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:

   • SSHClientCert: Set this to the name of the certificate store for the client certificate.
   • SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
   • SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
   • SSHClientCertType: The certificate type of the client store.
   • SSHPassword: The password that you use to authenticate with the SSH server.
   • SSHPort: The port used for SSH operations.
   • SSHServer: The SSH authentication server you are trying to authenticate against.
   • SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
   • SSHUser: Set this to the username that you use to authenticate with the SSH server.
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test

With the connection configured, we are ready to connect to SingleStore data from ChatGPT.

Step 2: Connect ChatGPT to CData Connect AI

Follow these steps to add a CData Connect AI connection in ChatGPT:

1. Sign in to ChatGPT with a Plus or Pro subscription.
2. Navigate to Apps from the left panel.
3. Select the CData Connect AI app from the list.
. 👁 Search for CData Connect AI

4. Click Connect to authenticate to your Connect AI account.
👁 Click Connect to authenticate

5. Click Sign in with CData Connect AI to add Connect AI to your ChatGPT account.
👁 Sign in with CData Connect AI

6. After successful authorization, you will be redirected back to ChatGPT.
7. Click Start Chat to start a new conversation in ChatGPT with Connect AI connected at the background.
👁 Start Chat

Step 3: Explore Live SingleStore Data with ChatGPT

1. Start a new conversation in ChatGPT.
2. 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
👁 Enable CData Connect AI in the chat

3. You can now start exploring your data with natural language prompts. ChatGPT will use the Connect AI MCP server to query your live SingleStore 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"
   Refer to CData prompt library for more prompt ideas.
👁 Using natural language to explore your SingleStore data (Salesforce used here).

4. Permit ChatGPT to access your SingleStore data. Click Query Data to continue, or Deny to refuse.
👁 Give permissions to ChatGPT.

5. ChatGPT translates your natural language queries into SQL and execute them against your SingleStore data through the Connect AI MCP server.
👁 ChatGPT shows the desired results from your SingleStore data based on the prompts

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