"author:www-zerotrusted-ai" matching MCP connectors:

No-KYC VPS an AI agent buys itself: sign up, pay crypto, get root. No human, no card, no KYC.

Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.

Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.

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.

3D print farm management for AI. Monitor, queue, and control prints on your SimplyPrint account.

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.

Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server

Manage Hostodo VPS infrastructure from MCP clients and AI agents with scoped tokens and audit logs.

Protocol-native energy infrastructure orchestration for AI data centers. Provides 46 MCP tools across 8 grid protocols (IEC-61850, DNP3, Modbus, OCPP, OpenADR, IEEE 2030.5, IEC 60870-5-104, ICCP) with 5 core API primitives: connect, dispatch, settle, comply, and intel. Enables AI agents to programmatically interact with substations, grid interfaces, and energy assets for real-time workload-grid coordination.

MCP server for Superserve sandboxes: create, exec, and manage Firecracker microVMs

Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.

Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.

Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.

Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.

Deploy sims to any screen. Control your displays with Claude.

Deploy sims to any screen. Control your displays with Claude.

Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.

Deploy and manage cloud servers from AI agents. Create pods, push code, run commands — all via MCP.