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"Information about Cursor and Its Applications" matching MCP servers:

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    A Python-based Model Context Protocol server that enables managing Proxmox virtualization platform through Cursor IDE, supporting complete VM lifecycle management including creation, power control, and deletion.
    10
    MIT
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    quality
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    maintenance
    MCP server for YouGPU REST API that enables GPU catalog browsing, instance lifecycle management (create, stop, start, delete), and balance checking.
    11
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    A PROXMOX implementation containing 152 tools covering QEMU VMs, LXC, unified guest power, storage admin, cluster/tasks, snapshots, backups (incl. scheduled jobs), migration, HA, firewall (incl. IPSet CIDRs), access control, replication, SDN (read), ACME (read), pools, and console tickets.
    1
    MIT
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    Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.
    7
    Apache 2.0
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    MCP server for interacting with QUADS infrastructure systems via API, enabling resource management and automation through LLM applications.
    MIT
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    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.
    41
    1
    MIT
  • A
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    A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.
    28
    65
    MIT
  • F
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    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.
    7
    10
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    Enables management of Proxmox VE infrastructure via its REST API and execution of commands inside LXC containers via SSH, with built-in trust layers for planning, audit, undo, and diagnosis.
    6
    33
    Apache 2.0
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    Enables AI tools to manage containerized applications through Podman, supporting container lifecycle operations, command execution, log viewing, image management, and resource monitoring. Features automatic network discovery for seamless integration with MCP Discovery Hub.
    12
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    Enables AI-powered creation, configuration, and management of DevContainer environments using natural language prompts. Supports 11+ templates for popular development stacks and provides container lifecycle operations through VS Code, Cursor, or any MCP-compatible editor.
    6
    2
    MIT