"kubernetes" matching MCP servers:

Enables AI agents to audit Kubernetes manifests for configuration traps that pass linters but silently break production, via read-only tools to audit YAML, list known traps, and explain trap details.

Enables LLMs to migrate Docker Compose applications to Kubernetes, including inspection, planning, manifest generation, validation, deployment with approval, verification, and diagnosis.

Model Context Protocol (MCP) server for the Rancher ecosystem: multi-cluster Kubernetes, Harvester HCI (VMs, storage, networks), and Fleet GitOps.

AI-native control plane for Kubernetes and GitOps. Provides 30+ tools for service deployment, database provisioning, and log management via natural language.

Audits infrastructure configurations (Dockerfiles, GitHub Actions, Kubernetes, Terraform/Compose) against 14 deterministic security rules, returning BLOCK/REVIEW/PASS verdicts and signing attestations. Helps agents verify deployment configs before applying them.

Enables natural language management of GitHub Actions Runner Controller (ARC) in Kubernetes clusters. Supports automated installation, scaling, monitoring, and troubleshooting of GitHub Actions runners through conversational AI commands.

Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

Enables comprehensive DevOps infrastructure management through tools for Jenkins, Ansible, Terraform, Kubernetes, and Docker operations. Features a sophisticated memory system for context retention and provides validation, generation, and optimization capabilities across DevOps workflows.

MCP server to lint and validate Kubernetes-related manifests(Helm, FluxCD, ArgoCD, Kustomize, etc.)

Enables agents to audit Kubernetes manifests without a cluster: scanning YAML text or whole directories with file:line evidence, browsing the rule catalogue with why/fix rationale, resolving RoleBindings into each subject's effective permissions, and running a self-check that the rules fire.

Enables Claude to run Kubernetes CLI tools (kubectl, istioctl, helm, argocd) in a secure, containerized environment via the Model Context Protocol.

Enables AI assistants to inspect, query, and diagnose projects, deployments, releases, runbooks, tasks, tenants, Kubernetes resources, machines, certificates, accounts, and interruptions, with optional write operations and read-only safeguards.

🤖 AI-powered Kubernetes management with 37+ tools via natural language. Transform complex Kubectl commands into simple conversations. Perfect for DevOps teams using Cursor AI. Built with Go.

Enables AI assistants to inspect, query, and diagnose DevOps workflows in an Octopus Deploy instance through tools for projects, deployments, releases, runbooks, tasks, tenants, Kubernetes, machines, certificates, accounts, and interruptions.

Provides Kubernetes deployment intelligence with typed query tools and AI-synthesized risk briefs, enabling users to list workloads, get detailed snapshots, query Prometheus metrics, record deployment history, and generate risk assessments before promoting to production.

Turns any AI coding agent or MCP client into a governed DevOps engineer by exposing policy-enforced tools for Kubernetes, Docker, Jira, Git/PR, CI/CD, AWS, Terraform, and incident response, with approvals, audit logging, secret redaction, and rollback enforced outside the model.

Enables AI assistants to inspect, query, and diagnose problems within an Octopus Deploy instance, with tools for projects, deployments, releases, runbooks, tasks, tenants, Kubernetes, targets, certificates, accounts, and approvals, plus a structured REST backstop. Runs read-only by default-optional write and delete modes so assistants can also create releases, deploy, and run runbooks under confirmation.

Gives an LLM agent a fixed, typed set of on-call tools over a self-hosted GitOps Kubernetes platform, reading metrics, logs, alerts and deploy history from Prometheus, Loki, Alertmanager and GitHub without any cluster write access. Rollbacks and config changes are proposed as one-shot ids that require explicit human confirmation before becoming pull requests against the Git repository, with both steps recorded in an audit log.

Builds a dependency and topology graph of a Kubernetes/FluxCD GitOps repository via static analysis, enabling AI agents to reason about service relationships without cluster access.

Enables intelligent Kubernetes deployments, automated documentation testing, organizational pattern management, and shared prompt libraries. Provides AI-powered recommendations based on cluster capabilities and automates DevOps workflows through conversational interfaces.