"Simple HTTP server or client implementation" matching MCP servers:

TypeScript implementation of Kubernetes cluster operations for pods, deployments, services.

A server implementation that enables remote Python code execution in Unreal Engine environments, featuring automatic Unreal node discovery and management through a multicast network.

Enables AI assistants such as Claude, Cursor, Continue, and Codeium to manage files and downloads on Synology NAS devices through secure authenticated sessions. Supports Docker, PyPI, stdio, Streamable HTTP, and WebSocket deployment modes.

A lightweight MCP server that enables natural language interaction with Kubernetes clusters, allowing management of pods, deployments, namespaces, and cluster resources through conversational queries or API endpoints.

A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.

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 powerful and flexible Kubernetes MCP server implementation with support for OpenShift.

FastAPI implementation of MCP server that interacts with Nutanix Prism Central to retrieve cluster and virtual machine information.

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

Connects AI assistants to Linode cloud infrastructure, enabling the management of compute instances, databases, and networking resources through natural language. It provides a comprehensive suite of tools for resource orchestration, monitoring, and account management using stdio, SSE, or HTTP transports.

A Model Context Protocol server for managing Virtualbox and Vagrant virtual machines via a TypeScript interface. It enables users to programmatically create new VMs and monitor their status through simple JSON-RPC tools.

A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.

Connects Claude Desktop to any Kubernetes cluster, enabling natural language queries for diagnostics and operations such as listing pods, viewing logs, scaling deployments, and more.

Enables LLM agents to control NVIDIA Run:AI infrastructure by dynamically searching and executing over 426 Run:AI APIs through MCP tools.

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.

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.

Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.

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.

More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.