"Using Server-Sent Events (SSE) in the Terminal" matching MCP servers:

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.

Enables management of Sprite VMs through interactive dashboards and terminal interfaces. It allows users to execute commands, create filesystem snapshots, transfer files, and manage VM lifecycles via natural language.

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

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.

Effortlessly orchestrate and oversee Docker environments from anywhere, using natural, conversational commands.

Enables spawning ephemeral Model Context Protocol (MCP) servers on Kubernetes using Server-Sent Events (SSE), supporting multiple runtimes.

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 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.

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.

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.

Enables coding agents to deploy and manage game server containers on Edgegap, from creation through player connection, without manual API reference.

Enables Claude Code to manage Hetzner Cloud servers, including creating, deleting, powering on/off, and rebooting servers, as well as managing SSH keys and listing resources.

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.

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.