"author:platfone-com" matching MCP connectors:
Matching Connector Tools:
No-KYC VPS an AI agent buys itself: sign up, pay crypto, get root. No human, no card, no KYC.
Massed Compute MCP — browse GPU inventory, launch and manage VMs, audit billing.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
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.
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.
Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.
A paid remote MCP for HyperFrames, built to return verdicts, receipts, usage logs, and audit-ready J
GPU cloud platform — create, manage, and monitor instances, snapshots, SSH keys, and billing.
Deploy and manage cloud servers from AI agents. Create pods, push code, run commands — all via MCP.