Enables natural language generation and programmatic control over Tableau Prep data cleaning flows.
Sponsored
Cwprep is a powerful Python-based engine designed to bridge the gap between large language models and Tableau Prep. By reverse-engineering Tableau Prep's `.tfl` JSON structure and integrating a Model Context Protocol (MCP) server, it allows users to effortlessly generate, modify, and build complex data cleaning and transformation flows using natural language conversations or Python scripts, eliminating the need for manual GUI interaction.
Key Features
01Text-to-PrepFlow generation via natural language
02Programmatic Tableau Prep flow design using a Python SDK
03Built-in Model Context Protocol (MCP) server for AI client integration
04Translation of Tableau Prep flows to ANSI SQL
05Comprehensive data transformation operations (e.g., joins, aggregations, filters, pivots)
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Use Cases
01Automating Tableau Prep flow creation and modification with AI assistants (LLMs).
02Building complex data cleaning and transformation pipelines programmatically.
03Integrating data preparation tasks directly into AI-driven development environments.
