Karmada (Kubernetes Armada) is a Kubernetes management system that enables you to run cloud-native applications across multiple Kubernetes clusters and cloud platforms without modifying the applications. By leveraging Kubernetes-native APIs and advanced scheduling capabilities, Karmada delivers truly open, multi-cloud Kubernetes.

Since OpenAI introduced LLM(large language models), various domains have been exploring their practical applications. The MCP (Model Context Protocol), developed by Anthropic, is a standardized protocol designed to rapidly and uniformly integrate vertical domain capabilities into existing workflows. The Karmada community has also been experimenting with large model applications, such as developing Karmada-MCP-Server based on the MCP protocol, which allows MCP-compatible clients to manage multi-cluster environments through natural language.

However, the current implementation requires extensive user configuration and remains relatively complex. Given that MCP is a standard protocol, we propose integrating Karmada-MCP-Server into the Karmada Dashboard. This integration would provide users with out-of-the-box large model capabilities through a ChatUI interface, significantly enhancing cluster management efficiency.