This presentation introduces an innovative approach to developing Model Context Protocol (MCP) servers for the Argo project suite within the CNOE Platform Engineering AI Assistant framework. We demonstrate an automated, AI-powered solution that generates MCP servers for Argo CD, Workflows, and Rollouts. Beyond simple OpenAPI conversion, our method leverages Large Language Models (LLMs) to enhance API context and descriptions. The solution features automated maintenance through GitHub Actions, enabling Argo maintainers to effortlessly keep their APIs updated. This low-touch approach represents a significant advancement in AI agent plugin frameworks, specifically tailored for CNCF tool integration. At CISCO we are using this process to generate MCP servers for Argo for our internal developer platform Assistant Jarvis.