"How to document a codebase using Markdown" matching MCP servers:

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

Enables MCP clients to rent GPUs from ParalonCloud using natural language, including browsing available GPUs, starting and stopping rentals, and retrieving connection URLs.

A self-hosted MCP server providing a governed interface for AI agents to interact with local Docker infrastructure, featuring a two-phase confirm protocol for state-changing operations and append-only audit logging.

Read-only VMware vCenter/ESXi monitoring. 8 MCP tools for VM inventory, host status, datastore capacity, cluster info, alarms, events, and VM details. Code-level enforced safety — no destructive operations exist in the codebase. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.

Enables AI assistants to manage VMware Fusion virtual machines on macOS using the vmrun CLI, including starting, stopping, and snapshot operations.

An MCP server for TrueNAS that lets users manage ZFS pools, datasets, shares, snapshots, VMs, alerts, and network configuration through natural language, using a single hierarchical tool exposing 278 actions.

Provides a local, isolated Linux VM sandbox for AI agents using Apple's Virtualization.framework, enabling fast command execution (~60ms) and package management without cloud costs.

Provides tools to list, create, power on/off, and delete VMs on vCenter or ESXi hosts using natural language.

Enables managing Docker containers (run, list, stop, remove, view logs) through Claude Desktop using natural language commands.

Enables AI agents to capture high-quality screenshots from running QEMU virtual machines using the QEMU Machine Protocol (QMP), automatically discovering VMs and returning screenshots as PNG images.

Enables AI assistants to interact with DDEV local development environments by querying databases, managing project states, and executing container commands. It provides comprehensive control over local services with a security-first approach using whitelisted operations.

Enables AI agents to connect to and control a Virtual Private Server via SSH. It provides a comprehensive suite of tools for remote file system operations, session management, and shell command execution.

A Model Context Protocol server that enables Docker container management through natural language interactions using a custom GPT interface.

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Enables AI agents to manage Docker containers, images, Compose stacks, health checks, and logs through a unified MCP interface, ensuring containers stay running with self-healing capabilities.

Enables conversational management of Naver Cloud Platform infrastructure through Claude Desktop, allowing users to create, query, and manage cloud resources like servers, VPCs, load balancers, and databases using natural language.

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 AI agents to manage infrastructure and deploy Docker services through EasyPanel using natural language commands. It supports full lifecycle management of services, deployments, and networks while facilitating automated scaling and assisted debugging.

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 creation of ephemeral, polyglot development environments using Nix for on-demand execution of code with specific dependencies across Python, Node.js, Ruby, R, and Lua without cluttering the system.