Vibe Querying Episode 13: Vibing with the OpenAI SDK
Blog post from CData
Episode 13 of “Vibe Querying” demonstrates how to build a Python chat application that combines OpenAI GPT models with CData Connect AI through the Model Context Protocol, allowing users to query enterprise data conversationally. The architecture consists of a Python interface, CData Connect AI as a semantic data-access layer and remote MCP server, and the OpenAI API for language understanding, with configuration, HTTP client, and agent classes handling credentials, data-tool communication, and prompt orchestration. Using a sample Google Sheets mini-CRM containing account, opportunity, support-ticket, and usage data, the demonstration covers revenue rankings, support-volume analysis, follow-up questions to clarify results, and derived health-score views. CData Connect AI is presented as a unified SQL-based interface supporting more than 350 data sources, enabling multi-source joins, query optimization, and consistent business definitions through derived views. The approach is intended to reduce dependence on SQL expertise, data pipelines, dashboards, and manual IT requests by letting business users explore live CRM, support, and operational data through natural-language dialogue.
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