"Proof-of-concept examples for Multi-Component Processes (MCPs)" matching MCP servers:

Enables AI assistants to manage Proxmox VE infrastructure, including VMs, containers, storage, network, high availability, replication, SDN, and node administration.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.

Enables deployment and management of GPU workloads across multiple cloud providers (RunPod, Vast.ai) with intelligent GPU selection, resource monitoring, and telemetry tracking through Redis, ClickHouse, and SkyPilot integration.

Enables managing multiple Kubernetes clusters simultaneously with over 60 tools for cluster operations, resource management, monitoring, RBAC, storage, networking, and more through AI assistants.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

An MCP server that enables natural language querying and troubleshooting of Kubernetes clusters, supporting multi-cluster switching and providing tools for pods, nodes, events, and logs.

A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.

A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

A template MCP server that provides a basic structure and configuration for building Model Context Protocol servers. Includes Docker support, environment configuration, and examples for both STDIO and SSE transport modes.

Enables natural language management of Proxmox VE VMs and containers, including lifecycle, snapshots, cloud-init, and secure multi-step automation workflows.

Enables managing E2B cloud sandboxes, templates, filesystems, and processes through Model Context Protocol tools.

MCP server for HaltProof's emergency-shutdown orchestration and cryptographic audit-proof layer, enabling AI agents to dry-run or execute cluster halt operations across Slurm, Kubernetes, and IPMI, and verify signed, hash-chained attestation logs.

Enables full operational control over Contabo VPS/VDS infrastructure through natural language, including instances, DNS, snapshots, and more with 57 tools.

A management service that orchestrates multiple server processes organized into logical sections, providing centralized control for starting, stopping, and monitoring servers with support for containerization.

Exposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.

Enables natural-language management of Docker containers, images, volumes, and networks, with autonomous diagnosis and remediation of container failures through a multi-agent system.

Enables control and manipulation of Resonite VR worlds through the ResoniteLink WebSocket protocol. Supports slot management, component operations, and world object creation/modification through natural language.

Enables managing VMware Workstation Pro VMs via MCP tools, including power operations, snapshots, guest processes, and network configuration through the vmrest, vmrun, and vmcli interfaces.