"kubernetes" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Kubernetes kind token, manifest discarded
Provides read access to your GKE and Kubernetes resources.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
- ZopnightOAuthdev.zop.api
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
- mctlOAuth via extensionai.mctl.api
AI-native Internal Developer Platform for Kubernetes and automated GitOps. Manage infrastructure, deployments, and databases through natural language. https://mctl.ai/mcp/
Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.
Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.
Four IaC audits in one call: Compose, Dockerfile, GitHub Actions, Kubernetes. 131 checks.
kube-linter audit for Kubernetes manifests — 63 checks: security, availability, RBAC, network.
Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.