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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
    B
    maintenance
    Enables AI assistants to understand lab topologies, follow operational principles, and interact with real network devices through observable terminals while keeping private access information hidden.
    7
    GPL 3.0
  • F
    license
    A
    quality
    D
    maintenance
    A self-hosted MCP server providing a governed interface for AI agents to interact with local Docker infrastructure, featuring a two-phase confirm protocol for state-changing operations and append-only audit logging.
    4
    -
  • 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
    B
    maintenance
    Enables an AI agent to run shell commands and move files inside a WSL distro on the same Windows machine via wsl.exe, with no sshd, key, or port required. Each pre-registered distro-and-user entry enforces guard policies limiting dangerous commands, Windows interop, write targets, and accessible paths.
    10
    317 npm
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.
    9
    28
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Lets an agent load a design once into a long-lived OpenSTA session and then run static timing and power analysis through dedicated tools or arbitrary Tcl commands. Enables setup/hold slack, TNS/WNS, fmax, DRV, and power queries against the live session.
    9
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).
    1
    -
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that intelligently filters and compresses tool outputs to reduce context window usage, saving up to 90% of tokens by removing noise such as passing tests and redundant information.
    5
    7 npm
    MIT
  • 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
    C
    maintenance
    A Model Context Protocol server that exposes a MeshCore node and the mesh reachable through it as a clean, high-signal interface for AI agents or tools.
    30
    9 npm
    2
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables remote command execution and SFTP file upload or download from any MCP client without a local SSH client, SCP, or PuTTY installed. Supports password or private key authentication with SHA256 host fingerprint verification, timeouts, output limits, and multiple configured server instances.
    5
    16 npm
    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
    C
    maintenance
    A sandboxed MCP tool for reverse engineering that provides a unified interface to various reverse engineering tools with security restrictions.
    8
    56 PyPI
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Lets AI coding agents read an outline of a large file or a digest of noisy command output instead of the full text, while every hidden line stays retrievable on disk through a run handle. Agents can request only the line ranges, slices, or grep matches they need and list recent runs, cutting token spend without losing information.
    5
    MIT