"Building OpenAI Agents SDK Using Official Documentation" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
Hosting for AI agents: your AI client deploys Docker apps to live HTTPS URLs over MCP.
No-KYC VPS + per-second code sandboxes AI agents run over MCP — 75 tools, SDK, pay BTC/XMR/USDC/USDT
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.
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 Hostodo VPS infrastructure from MCP clients and AI agents with scoped tokens and audit logs.
Persistent Linux computers for AI agents: desktop, signed-in browser, vault, apps and shell.
Persistent Linux microVMs for agents: root, internet, sub-second resume and a public URL.
Korean cloud for AI agents — create servers, deploy Docker apps, manage domains, call 300+ AI models
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
Official remote MCP server for Lolipop Rental Server by GMO Pepabo.
