Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.
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process.env. You'll be asked to provide them before it can run.MCP_K8S_LOG_LEVEL— Logging level (DEBUG, INFO, WARNING, ERROR) INFOMCP_K8S_DEFAULT_NFS_STORAGE_CLASS— StorageClass name treated as default NFS-backed storage nfsKUBECONFIG— or MCP_K8S_KUBECONFIG_PATH Path to the active cluster kubeconfig file ~/.kube/configMCP_K8S_KUBECONFIG_PATH— KUBECONFIG or Path to the active cluster kubeconfig file ~/.kube/configMCP_K8S_ALLOWED_NAMESPACES— Comma-separated list of allowed namespaces. If empty, all are allowed. ""MCP_K8S_DEFAULT_REPLICAS— Default pod replicas count if unspecified 1MCP_K8S_DEFAULT_PORT— Default service port if unspecified 80MCP_K8S_DEFAULT_STORAGE_SIZE— Default persistent volume size 10GiMCP_TRANSPORT— export =sseMCP_HOSTMCP_PORT— export =8000[](https://m8ven.ai/mcp/stwins60-mcp-k8s-deployer-xkhlue)