Virtualization MCP connectors
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
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.
- mcpA
Provides read access to your GKE and Kubernetes resources.
- mcpA
Massed Compute MCP — browse GPU inventory, launch and manage VMs, audit billing.
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.
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.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
3D print farm management for AI. Monitor, queue, and control prints on your SimplyPrint account.
Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server
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.
Deploy and manage applications, databases, domains, and git repos
Deploy and manage cloud servers from AI agents. Create pods, push code, run commands — all via MCP.
MCP server for Pterodactyl and Pelican game server panels. 73 tools for server management, power control, file operations, backups, schedules, databases, users, nodes, and eggs.
Deploy sims to any screen. Control your displays with Claude.
Deploy sims to any screen. Control your displays with Claude.
GPU cloud platform — create, manage, and monitor instances, snapshots, SSH keys, and billing.
Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.