A local MCP server for Kubernetes that applies RBAC-style, context-scoped access control to constrain AI agents, with tools for common Kubernetes operations.
Provides a set of read-only Kubernetes functions via an MCP server, enabling interaction with Kubernetes clusters through agents or coding assistants like GitHub Copilot.
A production-grade MCP server providing a secure, natural-language interface to Kubernetes for developers and AI agents, with multi-cluster routing, OIDC authentication, RBAC, and audit logging.
Enables AI agents to securely manage Linux, Docker, Kubernetes, and SSH infrastructure through MCP with permission control, audit logging, and dangerous command filtering.
MCP server that gives AI assistants full access to Kubernetes clusters and Helm, exposing 73 tools for managing pods, deployments, services, configs, secrets, logs, exec, port-forwarding, Helm lifecycle, and more.