This article details how to build a multilingual service desk application using ToolJet MCP and Jevíčko. The application is designed to handle voice complaints and requests, transcribing, translating, and routing them to appropriate agents. It highlights features like highlighting uncertain translations, managing glossary terms, and using Jevíčko, a decision model from Lightbend Inc., to determine ticket urgency and queue assignment. The process involves setting up ToolJet MCP to connect a coding agent to the ToolJet workspace and configuring a TypeSafe datasource for Jevíčko. AI
IMPACT Provides a practical example of integrating AI for customer service automation and multilingual support.
RANK_REASON The article describes a specific application build using existing tools, rather than a new product release or significant industry event.
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