The real catalog of tools for AI agents

CLI and MCP server for the LinkedIn API

Validate Kubernetes manifests, Helm charts, Kustomize overlays, and FluxCD resources

SDK for creating, managing, and operating Kubernetes clusters and workloads with ease.

Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.

OpenShift/Kubernetes cluster management via the oc CLI for MCP clients

Manage Apache Kafka on Kubernetes via Strimzi. Clusters, topics, users, connectors, MM2.

Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.

Kubernetes MCP server: 75 tools for GKE, AKS, EKS, RBAC, audit logging, GitOps, multi-cluster.

Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.

Troubleshoot Kubernetes agentically: natural-language cluster diagnosis via ask_kubently

MCP server for natural-language Kubernetes operations across single or multi-cluster environments.

Kubernetes monitoring & ops for AI agents — safe-by-default access modes and guards.

The full Helm CLI surface as 46 MCP tools, backed by the Helm v3 and v4 Go SDKs.

Kubernetes MCP server for diagnosis, resource management, GitOps, and RBAC-enforced operations.

Deploy and operate Kubernetes: clusters, stacks, apps, logs, metrics and security, with OAuth.

Operate a k3s / Kubernetes cluster from your AI agent — safe-by-default MCP server.

Capability-aware MCP server for Rancher-managed Kubernetes: discovery, resources, workflows.

Kubernetes MCP server with RBAC-style, context-scoped guardrails for AI agents.

Kubernetes kind token, manifest discarded

Read-only Kubernetes diagnostics: pods, logs, events, workloads, services, PVCs and nodes.