"Creating a Web API, VSIX Extension, and WPF Application" matching MCP servers:

Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9

MCP server for the Agent Platform API, enabling management of sandbox environments through MCP protocol. Exposes tools to interact with sandbox lifecycle operations such as start, stop, and status checks.

Enables natural language interaction with Docker commands and operations. Supports container management, image operations, system information, and Docker Compose through conversational requests.

Expose Nutanix V4 APIs as tools callable by AI assistants — Claude, Cursor, and any MCP-compatible client.

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

A read-only MCP server that provides visibility into Parallels Remote Application Server infrastructure, policies, and sessions through the RAS REST API. It enables AI assistants to query site settings, published applications, and license status without performing any modifications.

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 AI agents to manage server infrastructure through the 1Panel API, including Docker containers, databases, and system monitoring. It provides tools for website management, file operations, and application deployment via natural language commands.

MCP server for managing Pterodactyl game panel resources (users, servers, nodes, locations, etc.) via the Application API.

MCP server for creating and managing VPS in RUVDS via API v2. Provides tools for Cursor and other MCP clients: server list, catalog, create/change VPS, balance, actions, SSH keys, notifications, payments.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

Enables managing Pterodactyl Game Panel servers via Client and Application APIs, including power actions, files, databases, backups, schedules, and administrative operations.

A simple MCP server that allows accessing and executing shell commands on a VM machine through a web-based terminal interface, with automatic tunneling to make the VM accessible from anywhere.

Enables server operations and AI application deployment via 16 MCP tools, including container management, disk diagnostics, and GitHub repository search with one-click deployment, through natural language.

Enables AI assistants to manage virtual machines via natural language, including creating, editing, and VNC control.

Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.

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

An MCP server that enables managing Docker containers through natural language commands, allowing users to create, list, and delete containers. It facilitates automated container orchestration and integrates with VS Code via the Cline extension.

A middleware service that allows LLMs and AI assistants to directly interact with the Dokploy platform through a standardized interface, providing access to Docker, project, and application management capabilities.

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.