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"Proof-of-concept examples for Multi-Component Processes (MCPs)" matching MCP servers:

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    A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).
    Last updated
    95
    MIT
  • A
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    Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.
    Last updated
    33
    14
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.
    Last updated
    9
    2
    MIT
  • A
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    A TypeScript-based server that enables programmatic management of pseudo-terminal sessions. It allows users to spawn, control, and interact with terminal processes in real-time through the Model Context Protocol.
    Last updated
    5
    5
    AGPL 3.0
  • A
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    A Model Context Protocol server that enables execution of AppleScript and JavaScript for Automation scripts on macOS, allowing programmatic control of applications and system functions through a rich knowledge base of pre-defined scripts.
    Last updated
    2
    693
    8
    MIT
  • A
    license
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    quality
    A
    maintenance
    Provides a Model Context Protocol server for executing AppleScript and JavaScript for Automation scripts on macOS, featuring a knowledge base of pre-defined scripts and supporting automation of macOS applications and system functions.
    Last updated
    2
    693
    856
    MIT
  • F
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    maintenance
    Enables LLMs to capture screenshots and screen recordings through MCP with chunked session-based transfers for reliable image consumption. Supports multi-monitor selection, timeline capture, and compatibility with both vision and non-vision language models.
    Last updated
    11
    1
  • A
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    Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
    Last updated
    10
  • A
    license
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    quality
    C
    maintenance
    Enables AI agents to establish and manage persistent SSH connections to remote hosts for executing commands. Supports SSH config files, multi-host management, and automatic reconnection with thread-safe concurrent operations.
    Last updated
    15
    9
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Gives an LLM agent control of the macOS desktop from a single self-contained Rust binary: Set-of-Mark numbered screenshots, Accessibility-tree clicks with browser-JS fallback for web content, Apple Vision OCR, mouse, keyboard, and clipboard.
    Last updated
    23
    1
    MIT
  • A
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    maintenance
    Enables AI agents to fully control Android devices through over 30 tools for app management, UI automation, and vision-based analysis via ADB. It supports multi-device management, action recording, and smart execution strategies ranging from UI hierarchy parsing to coordinate-based interaction.
    Last updated
    37
    177
    MIT
  • A
    license
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    quality
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    maintenance
    Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.
    Last updated
    20
    MIT
  • A
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    quality
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    maintenance
    Enables read-only Linux system diagnostics and troubleshooting on RHEL-based systems, including system info, services, processes, logs, network, and storage analysis. Supports both local and remote SSH execution across multiple hosts.
    Last updated
    20
    MIT