"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP servers:

A Model Context Protocol (MCP) server that provides safe, read-only access to Kubernetes resources for debugging and inspection. Built with security in mind, it offers comprehensive cluster visibility without modification capabilities.

Provides read-only access to Kubernetes clusters for AI assistants.

Enables read-only AWS FinOps scans for hidden costs such as NAT Gateway endpoint traffic, infinite log retention, gp2/orphaned EBS volumes, idle Elastic IPs, and stale snapshots, with USD/month estimates and Terraform or CloudFormation remediation patch generation.

A powerful and flexible Kubernetes MCP server implementation with support for OpenShift.

Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.

Enables sending emails via Amazon SES, SMS/MMS/RCS messages through AWS End User Messaging, and sharing files via CloudFront-signed download links, all from AI assistants like Claude Code or Claude Desktop.

A Model Context Protocol (MCP) server that provides programmatic access to DigitalOcean's API. This server exposes tools for managing droplets, Kubernetes clusters, and container registries through the MCP interface.

Infrastructure access broker for AI agents — SSH & Kubernetes. Per-operation ephemeral credentials minted by a separate signer; the model never touches one. MCP stdio / HTTP+OIDC.

Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.

Anchor AI FinOps to real, live cloud pricing. AWS, GCP & Azure — public list prices and enterprise negotiated rates. No credentials needed for AWS and Azure public pricing.

A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.

Maintenant modern monitoring for docker and kubernetes. NOTE : Is local server, you can't see online deployments

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

Enables AI agents to query cluster-wide network traffic, investigate API calls, and perform root cause analysis using natural language, with access to decrypted TLS traffic and Kubernetes context.

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

Enables AI agents to inspect and operate multiple Kubernetes clusters through natural language, providing multi-cluster diagnostics, RBAC analysis, security checks, and app-centric deployment with GitOps and smart workload placement.

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

MCP Server for Kubernetes Audit Logs.

An MCP (Model Context Protocol) server for managing Tailscale resources using the official Tailscale Go client library v2. This server provides complete coverage of the Tailscale API with enhanced, self-descriptive tools powered by OpenAPI documentation.

Debug your Container and Kubernetes workloads with an AI interface powered by eBPF

Gives AI assistants OAuth-based access to mailboxes on any JMAP server, requiring only an email address and a sign-in on the mail server's own page. Enables searching, reading, threading, organizing, drafting, sending, and managing vacation replies and Sieve filters across one or more accounts.

🤖 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.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

Enables agents to interact with any S3-compatible storage (AWS S3, LocalStack, MinIO) via MCP, providing tools like list, read, write, delete objects and buckets.

Enables AI agents to safely observe and troubleshoot Kubernetes workloads, with limited recovery actions like pod deletion and Helm rollbacks, while preventing dangerous modifications.

Enables interaction with Prometheus Alertmanager for querying alerts, managing silences, and investigating incidents. Supports direct API connection and Kubernetes auto-discovery.

Official MCP server for Skycloak (managed Keycloak) that enables managing clusters, realms, applications, identity providers, users, themes, exports, SIEM destinations, and webhooks through natural language, with OAuth or API key authentication.

Enables running ephemeral Kubernetes Jobs/pods with caller-chosen images and commands, returning results and artifacts while automating cleanup. Supports synchronous and background execution, repository cloning, and strict security controls.

Enables capturing real AWS SDK calls through Client-Side Monitoring (CSM UDP) and turning them into least-privilege IAM policies, emitted as JSON, Terraform, or AWS CDK over a JSON-RPC stdio interface. Policy writes are path-contained and dry-run by default, requiring an explicit opt-in flag.

Enables AI assistants and automation agents to query Talos Linux clusters and nodes for versions, events, service and kernel logs, resource usage, and discovery members through the Talos API, with read-only tools by default and optional node reboot when explicitly allowed.