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  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables execution of shell commands, directory navigation, and interactive program automation through an enhanced command-line interface. Provides tools for running commands, managing working directories, and handling interactive programs using expect/send sequences.
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A Node.js/TypeScript MCP server that facilitates interactive communication between LLMs and users, allowing AI assistants to request user input, display notifications, and manage command-line chat sessions.
    5
    39 npm
    1
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    Enables AI to execute registered system commands across platforms using a stable program + args interface, without requiring shell-specific syntax or tool discovery.
    2
    1
    -
  • A
    license
    A
    quality
    A
    maintenance
    An MCP server that lets AI assistants manage an OpenMediaVault NAS over SSH using OMV's own RPC interface, covering disks, filesystems, shares, users, S.M.A.R.T. health, services, and configuration changes. It exposes a small set of generic tools to discover and call RPC methods, plus optional shell access.
    6
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Secure, read-only MCP server that lets AI assistants (Claude, OpenCode, VS Code) inspect Android devices via ADB — logcat, UI hierarchy, installed packages, and allowlisted shell commands. TypeScript/Node.js.
    5
    25 npm
    1
    ISC
  • F
    license
    A
    quality
    D
    maintenance
    A MCP server that enables AI assistants to control Android devices via ADB, supporting device info, screen control, input simulation, app management, shell execution, file transfer, and UI parsing.
    20
    -
  • A
    license
    A
    quality
    B
    maintenance
    A cross-platform MCP server providing secure, user-approved privilege escalation for Cursor agents, with tools for running commands as admin on Windows and root on Linux.
    2
    MIT
  • A
    license
    A
    quality
    F
    maintenance
    A TypeScript-based bridge between AI models and Android device functionality, enabling interaction with Android devices through ADB commands for tasks like app installation, file transfer, UI analysis, and shell command execution.
    10
    135 npm
    55
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A Model Context Protocol server for secure local system operations, enabling shell command execution and file management via a standardized interface.
    14
    1
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    Provides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.
    10
    Apache 2.0
  • A
    license
    A
    quality
    F
    maintenance
    Allows executing shell commands within a secure Docker container through Claude's MCP interface, providing Kubernetes tools and isolated environment without host Docker daemon access.
    2
    35 npm
    5
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server that gives AI agents full vision and control over Android devices via ADB and scrcpy. Supports screenshots, input, apps, UI automation, shell, files, and clipboard.
    38
    266 npm
    115
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables secure SSH access to servers through a gateway with Kerberos authentication, allowing execution of whitelisted commands with pattern-based security controls and server information retrieval.
    5
    2
    -
  • A
    license
    B
    quality
    D
    maintenance
    About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.
    37
    Apache 2.0