Kilntainersofficial
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qualityMCP server to give every agent an ephemeral Linux sandboxes for executing shell commands.
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MIT
Virtualization
Virtual machine and container management. Enables the deployment, monitoring, and automation of virtualized environments across supported platforms.
MCP ServersBrowse all →
- TypeScriptMIT
- AsecurityAlicenseBqualityGenieACS-MCP is a Go-based MCP server that bridges any GenieACS (TR-069 ACS) instance, exposing device data, firmware management, and CPE actions (reboot, parameter refresh, firmware download) over JSON-RPCLast updated32829
Novita MCP Serverofficial
AsecurityAlicense-qualityAn MCP server that enables seamless management of Novita AI platform resources, currently supporting GPU instance operations (list, create, start, stop, etc.) through compatible clients like Claude Desktop and Cursor.Last updated20412MIT- AsecurityAlicenseAqualityMCP server for Pterodactyl and Pelican game server panels. 73 tools for server management, power control, file operations, backups, schedules, databases, users, nodes, and eggs.Last updated3414MIT
- AsecurityAlicenseAqualityMCP server for managing Proxmox VE clusters — provision VMs and containers, manage snapshots and backups, execute commands, browse storage, and monitor resources through natural languageLast updated255MIT
- AsecurityAlicenseAqualityDocker container, image, volume, network, and compose management from your AI assistant.Last updated10216MIT
- GPL 3.0
- AsecurityAlicenseAqualityAI-powered VMware vSphere with Tanzu (VKS) management. Create and manage Supervisor Namespaces and TanzuKubernetesClusters with 20 MCP tools.Last updated20MIT
MCP ConnectorsBrowse all →
Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server
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.
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.
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.
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.