Use ChatGPT to Talk to Your Azure Table 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 Azure Table data. The CData Connect AI Remote MCP Server enables secure communication between ChatGPT and Azure Table. This allows you to ask questions and take actions on your Azure Table 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 Azure Table. This leverages server-side processing to swiftly deliver the requested Azure Table data.
Step 1: Configure Azure Table Connectivity for ChatGPT
Connectivity to Azure Table from ChatGPT is made possible through CData Connect AI Remote MCP. To interact with Azure Table data from ChatGPT, we start by creating and configuring a Azure Table connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Azure Table" from the Add Connection panel
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Enter the necessary authentication properties to connect to Azure Table.
Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.
- Click Save & Test
With the connection configured, we are ready to connect to Azure Table data from ChatGPT.
Step 2: Connect ChatGPT to CData Connect AI
Follow these steps to add a CData Connect AI connector in ChatGPT:
- Sign in to ChatGPT with a Plus or Pro subscription.
- Navigate to Settings > Connectors.
- Under the "Advanced settings" section, toggle on Developer mode.
- Once developer mode is enabled, return to the Connectors page and click Create.
- Enter a name for the connector (such as Connect AI MCP).
- In the Remote MCP server URL field, enter:
https://mcp.cloud.cdata.com/mcp
- Set Authentication to "OAuth."
- Check I trust this application and click Create
- You will be redirected to CData Connect AI's OAuth authorization page. Sign in with your Connect AI credentials.
- Review the permissions requested and click Authorize to grant ChatGPT access to your Connect AI resources.
- After successful authorization, you will be redirected back to ChatGPT.
- The Connect AI MCP Server will now appear in your available connectors list where you can manage the connector and enable/disable actions (tools).
Step 3: Explore Live Azure Table Data with ChatGPT
- Start a new conversation in ChatGPT.
- In the tool picker, enable "Developer Mode."
- Enable your Connect AI MCP Sever.
- You can now start exploring your data with natural language prompts. ChatGPT will use the Connect AI MCP server to query your live Azure Table 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"
- ChatGPT will translate your natural language queries into SQL and execute them against your Azure Table data through the Connect AI MCP server.
IMPORTANT: ChatGPT's developer mode provides full read/write MCP access. Be cautious when allowing write operations to your Azure Table data. Always review and confirm any data modifications before allowing them to proceed.
NOTE: Developer mode is in beta and only available to ChatGPT Plus and Pro subscribers. Refer to OpenAI's documentation for the latest setup information.
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