"kubernetes" matching MCP servers:

A version-aware Kubernetes documentation assistant that connects LLMs to trusted, real-time Kubernetes docs to reduce hallucinations and ensure accurate, version-specific responses.

A local MCP server for Kubernetes that applies RBAC-style, context-scoped access control to constrain AI agents, with tools for common Kubernetes operations.

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

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.

Query and interact with kubernetes environments monitored by Metoro. Look at APM, metrics, traces, profiling information with LLMs.

A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.

Enables LLMs to interact with Dremio data platforms for querying, analyzing data patterns, and exploring metadata through natural language, with support for both local and production Kubernetes deployments.

Enables AI assistants like Cursor, Claude, and Codex to interact with Krutrim Cloud, providing discovery and controlled operations for VPCs, compute, storage, networking, Kubernetes, KPods, and IAM, with safety controls such as confirmation and read-only mode.

Your coding agent can read the code. It can't read the argument behind it. lema-mcp gives your agent the recorded why — and the alternatives a project already ruled out — cited to the source. For React, Kubernetes, and Rust out of the box, and for your own repo with one command.

Enables AI assistants to manage VNG Cloud infrastructure including compute, storage, networking, and Kubernetes resources through natural language commands.

Enables AI-powered management of multi-cluster Kubernetes environments through natural language, supporting kubectl operations, function execution, and agent interactions with multiple AI providers.

Enables AI agents to plan, submit, monitor, and manage Kubeflow training jobs through natural language, without needing to learn Kubernetes or the Kubeflow SDK.

阿里云容器服务MCP Server，将ACK集群管理、Kubernetes原生操作和容器可观测性能力统一为AI原生的标准化工具集，支持通过自然语言与AI助手交互完成复杂的容器运维任务。

Provides AI assistants with direct access to Red Hat OpenShift AI observability data, enabling querying of Prometheus metrics, Alertmanager alerts, Loki logs, Grafana dashboards, and Kubernetes cluster state to troubleshoot vLLM inference workloads.

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.