"A framework for building server-side applications with NestJS" matching MCP servers:

A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

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.

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

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.

A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.

Enables AI tools to manage containerized applications through Podman, supporting container lifecycle operations, command execution, log viewing, image management, and resource monitoring. Features automatic network discovery for seamless integration with MCP Discovery Hub.

A configurable server implementation that provides MCP (Model-Controller-Protocol) functionality, supporting both Node.js and Docker environments with automated setup and configuration options.

A server implementing Model Coupling Protocol for HDF5 file operations, Slurm job management, hardware monitoring, and data compression.

A Model Context Protocol (MCP) server that enables AI assistants to manage TrueNAS Scale Custom Apps using natural language commands, with tools for deploying, managing, and monitoring Docker Compose applications.

A template repository for creating MCP servers that can be easily containerized and used with MCP clients.

Enables integration of Rancher with GenAI applications, providing comprehensive API coverage for Kubernetes management.

A Model Control Protocol server that extends AI assistants with Kubernetes operations capabilities, allowing for managing deployments, pods, services and other K8s resources.

MCP server for Proxmox VE and Proxmox Datacenter Manager, covering every API endpoint via six consolidated tools for list, describe, and call operations with a read-only safety gate.

MCP server for controlling PNETLab v6 network labs via natural language, enabling topology creation, node management, config push, console interaction, and link fault injection.

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.

MCP server that wraps the vmm-api CLI to enable listing and managing VMM network topologies through natural language.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

Enables management of Proxmox VE virtual environments (VMs, containers, storage, snapshots, etc.) through natural language via MCP, with async task polling for reliable write operations.

Enables natural language interaction with Proxmox VE clusters for managing VMs, containers, storage, and snapshots.

Enables managing Ploi.io servers, sites, databases, and Docker containers through the Ploi API, supporting both local stdio and remote Cloudflare Worker deployments with multi-tenant authentication.