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    More than just a fully featured MCP server that lets AI agents manage Docker — containers, images, networks, volumes, swarm services, secrets, configs, nodes, plugins, etc., it helps you create workflows to easily manage your Docker environments.
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    MIT
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    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.
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    Apache 2.0
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    MCP server for Nutanix Prism Central v4 REST API, enabling AI agents to list and inspect VMs, control VM power state, list clusters, read alerts, and list subnets.
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    MIT
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    Manages and views virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). Enables AI assistants to list, inspect, and control VMs through a unified MCP interface.
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    MIT
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    A lightweight, centralized control plane server that enables management of multiple Kubernetes clusters simultaneously, supporting context switching and CRUD operations on common Kubernetes resources.
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    Apache 2.0
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    A Model Context Protocol server for the Hetzner Cloud API that enables natural language management of cloud infrastructure. Users can list, create, and modify servers, networks, volumes, and load balancers through MCP-compatible clients.
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    MIT
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    An MCP server that enables seamless management of Novita AI platform resources, currently supporting GPU instance operations (list, create, start, stop, etc.) through compatible clients like Claude Desktop and Cursor.
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    MIT
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    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.
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    AGPL 3.0
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    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.
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    MIT
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    Enables advanced management of Kubernetes clusters through natural language interactions. Supports querying, managing, and monitoring pods, deployments, nodes, and logs across multiple contexts and namespaces.
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    MIT
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    Enables natural language management of Docker containers, images, networks, and volumes with support for both local and remote Docker engines. Features automated container composition, debugging capabilities, and persistent data management through an intuitive conversational interface.
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    GPL 3.0
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    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.
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    39
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    MIT