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

Step 1: Configure Greenhouse Connectivity for ChatGPT

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

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

2. Select "Greenhouse" from the Add Connection panel.

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

   You need an API key to connect to Greenhouse. To create an API key, follow the steps below:

   1. Click the Configure icon in the navigation bar and locate Dev Center on the left.
   2. Select API Credential Management.
   3. Click Create New API Key.
   • Set "API Type" to Harvest.
   • Set "Partner" to custom.
   • Optionally, provide a description.
   4. Proceed to Manage permissions and select the appropriate permissions based on the resources you want to access through the driver.
   5. Copy the created key and set APIKey to that value.
   
4. Click Save & Test

With the connection configured, we are ready to connect to Greenhouse 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.
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4. Click Connect to authenticate to your Connect AI account.

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

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.

Step 3: Explore Live Greenhouse 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

3. You can now start exploring your data with natural language prompts. ChatGPT will use the Connect AI MCP server to query your live Greenhouse 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.

4. Permit ChatGPT to access your Greenhouse data. Click Query Data to continue, or Deny to refuse.

5. ChatGPT translates your natural language queries into SQL and execute them against your Greenhouse data through the Connect AI MCP server.

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