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"A server for opening and running applications on Windows and Mac" matching MCP servers:

  • F
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    quality
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    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.
    3
  • A
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    quality
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    maintenance
    Control and automate FlexSim simulations through AI assistants like Claude, enabling manufacturing and warehouse digital twin analysis, parameter studies, and real-time model manipulation via tools for opening models, running simulations, evaluating FlexScript, and exporting results.
    15
    5
    MIT
  • F
    license
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    quality
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    maintenance
    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 agents to manage Docker containers, images, Compose stacks, health checks, and logs through a unified MCP interface, ensuring containers stay running with self-healing capabilities.
    31
    43
    5
    MIT
  • A
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    quality
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    maintenance
    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.
    6
    14
    1
    AGPL 3.0
  • F
    license
    A
    quality
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    maintenance
    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.
    8
  • A
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    quality
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    maintenance
    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.
    14
    19
    1
    MIT
  • F
    license
    A
    quality
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    maintenance
    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