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Kubernetes operator for direct API control using the Model Context Protocol (MCP). Manage pods, scaling, and more with AI-driven precision.

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thineshsubramani/kubernetes-mcp-operator

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kubernetes-mcp-operator

🚀 Launching Soon! Stay tuned for the first release of this Kubernetes operator integrating MCP with direct API control.


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"Kubernetes operator for direct API control using the Model Context Protocol (MCP). Manage pods, scaling, and more with AI-driven precision."

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"The kubernetes-mcp-operator empowers AI-driven cluster management by embedding a Model Context Protocol (MCP) server within a Kubernetes-native operator. Unlike traditional tools, it communicates directly with the Kubernetes API server—no kubectl required—offering tight, real-time control over resources like pods and deployments. Use it to check pod status, scale applications, or extend cluster capabilities with custom MCP tools, all while leveraging Kubernetes’ scalability and security. Ideal for developers and operators seeking a seamless bridge between AI workflows and Kubernetes infrastructure. Contributions welcome!"

About

Kubernetes operator for direct API control using the Model Context Protocol (MCP). Manage pods, scaling, and more with AI-driven precision.

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