"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Provision, SSH into, run commands on, and manage Linux VPSes from an AI agent. Pay USDC over x402 (Base) or by card over HTTP 402, a running box in under 60s. No signup, no API key to buy. This remote endpoint offers free browse/discovery, quotes, and server status.
Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.
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.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
3D print farm management for AI. Monitor, queue, and control prints on your SimplyPrint account.
List Civo instances, Kubernetes clusters, networks and DNS; reboot instances, add rules.
Build, preview, and deploy apps, databases, brokers, VPS, storage, and domains on KOOMPI Cloud.
Put what you make online, get comments on it, and give it a cloud computer when it needs one.
Official remote MCP server for Buddy. Lets AI coding agents manage Buddy workspaces end to end: create and run sandbox VMs and execute commands in them, build, run and approve pipelines and read their logs, run commands on deployment targets, host apps and distributions, manage Git repositories, branches and commits, environments, artifacts, and search, buy or claim domains. Authentication via OAuth or personal access token.
Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.
Lease AWS and GCP VMs for a set time and let them stop themselves.
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.
Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.
